Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
Dynamic Modelling and Simulation of Power
SystemsClaudio CanizaresDept. Electrical and Computer Engineeringwww.power.uwaterloo.cawww.wise.uwaterloo.ca
Grid Science Winter School, Santa Fe, NM, Jan. 7, 2019
http://www.power.uwaterloo.ca/http://www.wise.uwaterloo.ca/
The University of Waterloo
2
Waterloo Quick Facts• 6 Faculties: Applied Health
Sciences, Arts, Environmental Studies, Science, Math, Engineering.
• 29000 undergraduate students, 4800 graduate students (4500 international), 1100 faculty members, 2184 staff.
• Largest co-operative education program in the world:– 18,500/yr students enrolled– 5200 employers– Students earned $225M (2014)
3
Waterloo Quick Facts• $190 M annual research• World’s largest centre for education in math
& computer sciences (Waterloo and Stanford = largest source of computer science talent recruitment in North America)
• World’s largest concentration of quantum information research
• Canada’s largest Engineering faculty• WatCar – largest auto research centre in
Canada (125 researchers)• Waterloo Institute for Nanotechnology (70+
researchers)• Water Institute (125 researchers)• Waterloo Institute for Sustainable Energy
(100+ researchers)• Top research university six years in a row
(Comprehensive category) Research Infosource
4
Waterloo Quick Facts• Canada’s largest engineering
university• Eight departments:
– Chemical Engineering– Civil and Environmental
Engineering– Electrical and Computer
Engineering– Management Sciences– Mechanical and Mechatronics
Engineering– Systems Design Engineering– School of Architecture– Conrad Business and
Entrepreneurship• 100% co-operative study
6554 Undergraduate Students700 International Students
1829 Graduate Students286 Faculty202 Staff
5
Overview• Power systems:
– Structure– Supply technologies
• Basic elements:– Generators– Transmission system:
• Transformers• Transmission lines
– Loads:• Inductions motors• Aggregate loads
– Flexible AC Transmission Systems (FACTS)– Solar Photo-Voltaic Generation (SPVG)– Wind Generation (WG)
• Application example
6
Power System• Operated by independent system operators (e.g.
IESO):
Generator(station)
Transmission Lines
Connecting Buses or Nodes
Load
Transformer
683 GW Cogeneration Gas Plant Halton Hills
Transformer PowerStream
(Alectra)
500kV Milton
7
Power System• Ontario’s grid:
8
Power System• Generator station:
– Synchronous machine, exciter, primary voltage regulator and stabilizer.
– Turbine (e.g. thermal, gas, hydro) and primary frequency controls (governor).
– Fuelling system and controls (e.g. boiler, reservoir, valves)
– Owned and run by generation companies or GENCOS (e.g. OPG).
9
Power System• Transmission system:
– High voltage transmission lines: overhead wires and towers, underground cables.
– Transformers: step-up or step-down voltage levels to reduce transmission losses.
– Switching stations (buses/nodes): connections, breakers, protections, etc.
– Owned and maintained by transmission companies or TRANSCOS (e.g. Hydro One).
10
Power System• Loads:
– Large industrial customers and distribution networks.
– Represent aggregate models of the distribution grid, including motors, lighting, heating, feeders, etc.
– Owned by large customers and/or local distribution companies or LDCs (e.g. Toronto Hydro)
11
Power System• Renewable Energy (RE) generation:
– Mostly wind and SPV generation:• Wind mostly at the transmission system level as wind farms.• Solar mostly at the distribution system level as rooftop and ground-mounted.
– Wind generation more significant than SPVG at most jurisdictions, with a few exceptions where solar resources are high (e.g. Hawaii, Arizona, Australia).
– Mostly interfaced to the system through power electronic converters.– Generation technologies are relatively mature but new installations,
connection standards, and controls are still under development, with system impacts not yet fully understood and thus being still studied.
– Mostly privately owned by GENCOS (wind farms) and consumers (SPVG rooftop/ground-mounted).
12
Peak demand (Dec.):411.0 GW
• Europe’s electrical energy supply and demand [UCTE/ENTSO-E]:
Supply Technologies
13
Supply Technologies• US electricity supply and demand [US gov.]:
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
TWh
year
Others
G/S/W/B
Nuclear
Thermal
Hydro
0
100
200
300
400
500
600
700
800
900
1000
200520042003200220012000199919981997199619951994
year
GW
DemandReserves
14
Chart2
19901990199019901990
19911991199119911991
19921992199219921992
19931993199319931993
19941994199419941994
19951995199519951995
19961996199619961996
19971997199719971997
19981998199819981998
19991999199919991999
20002000200020002000
20012001200120012001
20022002200220022002
20032003200320032003
20042004200420042004
2005P2005P2005P2005P2005P
Hydro
Thermal
Nuclear
G/S/W/B
Others
year
TWh
292865846
2103780605
576861678
357238072
3615663
288994189
2103262931
612565087
357773453
4738849
253088003
2138704811
618776263
326857825
3719887
280494008
2230741008
610291214
356707290
3487156
260125733
2270132580
640439832
336660876
3666925
310832748
2293908429
673402123
384798133
4103808
347162063
2346018207
674728546
422957667
3571279
356453295
2430319913
628644171
433636114
3611990
323335661
2547065197
673702104
400424067
3571410
319536029
2569669781
728254124
398959031
4023773
275572597
2692478478
753892940
356478571
4793914
216961044
2677004758
768826308
294946101
4689931
264328832
2730166178
780064087
351250924
5713991
275806328
2758649951
763732695
363216797
6120827
268417308
2825010758
788528387
358825769
6678560
265077680
2903275650
780464675
357165661
3650896
US Generation
Table 8.2a Electricity Net Generation: Total (All Sectors), 1949-2005
(Sum of Tables 8.2b and 8.2d; Thousand Kilowatthours)
YearFossil FuelsRenewable EnergyOther 9Total
Hydro-
Nuclearelectric
Coal 1Petroleum 2TotalElectricPumpedConventionalBiomassSolar 8WindTotal
NaturalOtherPowerStorage 5HydroelectricGeo-
Gas 3Gases 4Power Wood 6Waste 7thermalDemand in MWh
1949135,451,32028,547,23236,966,709NA200,965,2610[10]94,772,992386,036NANANANA95,159,028NA296,124,289
1950154,519,99433,734,28844,559,159NA232,813,4410[10]100,884,575389,585NANANANA101,274,160NA334,087,601
1951185,203,65728,712,11656,615,678NA270,531,4510[10]104,376,120390,784NANANANA104,766,904NA375,298,355
1952195,436,66629,749,76168,453,088NA293,639,5150[10]109,708,251481,647NANANANA110,189,898NA403,829,413
1953218,846,32538,404,44979,790,975NA337,041,7490[10]109,617,396389,418NANANANA110,006,814NA447,048,563
1954239,145,96631,520,17593,688,271NA364,354,4120[10]111,639,772263,434NANANANA111,903,206NA476,257,618
1955301,362,69837,138,30895,285,441NA433,786,4470[10]116,235,946276,469NANANANA116,512,415NA550,298,862
1956338,503,48435,946,772104,037,208NA478,487,4640[10]125,236,621151,678NANANANA125,388,299NA603,875,763
1957346,386,20740,499,357114,212,525NA501,098,0899,670[10]133,357,930176,678NANANANA133,534,608NA634,642,367
1958344,365,78140,371,540119,759,302NA504,496,623164,691[10]143,614,545175,003NANANANA143,789,548NA648,450,862
1959378,424,21046,839,719146,619,391NA571,883,320188,101[10]141,154,533152,877NANANANA141,307,410NA713,378,831
1960403,067,35747,986,893157,969,787NA609,024,037518,182[10]149,440,035140,166NA33,368NANA149,613,569NA759,155,788
1961421,870,66948,519,376169,285,998NA639,676,0431,692,149[10]155,536,444125,734NA94,021NANA155,756,199NA797,124,391
1962450,249,23848,879,536184,301,293NA683,430,0672,269,685[10]172,015,646127,796NA100,462NANA172,243,904NA857,943,656
1963493,926,71952,001,610201,602,073NA747,530,4023,211,836[10]168,990,140127,940NA167,953NANA169,286,033NA920,028,271
1964526,230,01956,953,712220,038,479NA803,222,2103,342,743[10]180,301,506148,076NA203,791NANA180,653,373NA987,218,326
1965570,925,95164,801,224221,559,434NA857,286,6093,656,699[10]196,984,345268,804NA189,214NANA197,442,363NA1058385671
1966613,474,80078,926,172251,151,562NA943,552,5345,519,909[10]197,937,538333,926NA187,988NANA198,459,452NA1147531895
1967630,483,36389,270,724264,805,785NA984,559,8727,655,214[10]224,948,605315,688NA316,309NANA225,580,602NA1217795688
1968684,904,580104,275,833304,432,723NA109361313612,528,419[10]225,873,158375,062NA435,826NANA226,684,046NA1332825601
1969706,001,240137,847,152333,278,945NA117712733713,927,839[10]253,468,237319,933NA614,710NANA254,402,880NA1445458056
1970704,394,479184,183,402372,890,063NA126146794421,804,448[10]250,957,442136,000220,450525,183NANA251,839,075NA1535111467
1971713,102,454220,225,423374,030,784NA130735866138,104,545[10]269,531,459111,330199,869547,752NANA270,390,410NA1615853616
1972771,131,265274,295,961375,747,796NA142117502254,091,135[10]275,928,828130,859199,7741,452,795NANA277,712,256NA1752978413
1973847,651,470314,342,926340,858,192NA150285258883,479,463[10]275,430,574130,403197,8901,965,713NANA277,724,580NA1864056631
1974828,432,921300,930,538320,065,088NA1449428547113,975,740[10]304,211,80568,523182,1542,452,636NANA306,915,118NA1870319405
1975852,786,222289,094,900299,778,408NA1441659530172,505,075[10]303,152,67317,551173,5683,246,172NANA306,589,964NA1920754569
1976944,390,993319,988,137294,623,911NA1559003041191,103,531[10]286,924,23884,386182,0783,616,407NANA290,807,109NA2040913681
1977985,218,596358,178,822305,504,859NA1648902277250,883,283[10]223,598,687307,634173,2713,582,335NANA227,661,927NA2127447487
1978975,742,083365,060,441305,390,836NA1646193360276,403,070[10]283,465,224197,193140,4342,977,630NANA286,780,481NA2209376911
19791075037091303,525,209329,485,107NA1708047407255,154,623[10]283,075,976299,859198,1923,888,968NANA287,462,995NA2250665025
19801161562368245,994,189346,239,900NA1753796457251,115,575[10]279,182,090275,366157,7975,073,079NANA284,688,332NA2289600364
19811203203232206,420,775345,777,173NA1755401180272,673,503[10]263,844,664245,201122,6285,686,163NANA269,898,656NA2297973339
19821192004204146,797,490305,259,749NA1644061443282,773,248[10]312,374,013195,940124,9794,842,865NANA317,537,797NA2244372488
19831259424279144,498,593274,098,458NA1678021330293,677,119[10]335,290,855215,867162,7456,075,101NA2,668341,747,236NA2313445685
19841341680752119,807,913297,393,596NA1758882261327,633,549[10]324,311,365461,411424,5407,740,5045,2486,490332,949,558NA2419465368
19851402128125100,202,273291,945,965NA1794276363383,690,727[10]284,310,538743,294639,5789,325,23010,6305,762295,035,032NA2473002122
19861385831452136,584,867248,508,433NA1770924752414,038,063[10]294,005,219491,509685,23410,307,95414,0324,189305,508,137NA2490470952
19871463781289118,492,571272,620,803NA1854894663455,270,382[10]252,856,093783,088693,94110,775,46110,4973,541265,122,621NA2575287666
19881540652774148,899,561252,800,704NA1942353039526,973,047[10]226,100,803935,986738,25810,300,0799,094871238,085,091NA2707411177
1989111583779139164,517,957352,628,8667,862,4182108788380529,354,717[10]271,976,93627,236,6689,162,88714,593,443250,6012,112,043325,332,5783,829,8492967305524
19901594011479126,621,142372,765,15410,382,8302103780605576,861,678-3,507,741292,865,84632,521,88913,260,37915,434,271367,0872,788,600357,238,0723,615,6633037988277
19911590622748119,751,573381,553,01711,335,5932103262931612,565,087-4,541,435288,994,18933,725,35815,664,74615,966,444471,7652,950,951357,773,4534,738,8493073798885
19921621206039100,154,163404,074,37213,270,2372138704811618,776,263-4,176,582253,088,00336,528,66217,816,03516,137,962399,6402,887,523326,857,8253,719,8873083882204
19931690070232112,788,180414,926,79812,955,7982230741008610,291,214-4,035,572280,494,00837,623,40718,333,03116,788,565462,4523,005,827356,707,2903,487,1563197191096
19941690693864105,900,983460,218,68213,319,0512270132580640,439,832-3,377,825260,125,73337,937,36419,128,59515,535,453486,6223,447,109336,660,8763,666,92532475223885068886400
1995170942646874,554,065496,057,94513,869,9512293908429673,402,123-2,725,131310,832,74836,521,08220,404,97113,378,258496,8213,164,253384,798,1334,103,80833534873625167173600
1996179519559381,411,225455,055,57614,355,8132346018207674,728,546-3,088,078347,162,06336,800,31020,911,33614,328,684521,2053,234,069422,957,6673,571,27934441876215277356880
1997184501573692,554,873479,398,67013,350,6342430319913628,644,171-4,039,905356,453,29536,948,44121,709,07314,726,102511,1683,288,035433,636,1143,611,99034921722835417087640
19981873515690128,800,173531,257,10413,492,2302547065197673,702,104-4,467,280323,335,66136,338,38422,447,93514,773,918502,4733,025,696400,424,0673,571,41036202954985589633360
19991881087224118,060,838556,396,12714,125,5922569669781728,254,124-6,096,899319,536,02937,040,73422,572,17514,827,013495,0824,487,998398,959,0314,023,77336948098105727787320
20001966264596111,220,965601,038,15913,954,7582692478478753,892,940-5,538,860275,572,59737,594,86623,131,31414,093,158493,3755,593,261356,478,5714,793,91438021050435965043160
20011903955943124,880,222639,129,1209,039,4732677004758768,826,308-8,823,445216,961,04435,199,90521,764,56413,740,501542,7556,737,332294,946,1014,689,93137366436535911537080
2002193313035394,567,394691,005,74611,462,6852730166178780,064,087-8,742,928264,328,83238,665,04022,856,63214,491,310554,83110,354,279351,250,9245,713,99138584522526100253760
20031973736750119,405,640649,907,54115,600,0202758649951763,732,695-8,535,065275,806,32837,529,09823,735,67214,424,231534,00111,187,467363,216,7976,120,82738831852056103547520
20041978620218120,645,844[R]708978606[R]16,766,0902825010758788528387[R]-8,488,210268,417,308[R]37,576,418[R]23,302,172[R]14,810,975[R]575,15514,143,741[R]358,825,7696,678,560[R]39705552646069874080
2005P2014172634121,910,223751,549,11115,643,6822903275650780,464,675-6,568,160265,077,68037,828,37923,996,55615,124,491541,39214,597,163357,165,6613,650,89640379887226539077200
1Anthracite, bituminous coal, subbituminous coal, lignite, waste coal, and coal synfuel.9Batteries, chemicals, hydrogen, pitch, purchased steam, sulfur, and miscellaneous technologies.
2Distillate fuel oil, residual fuel oil, petroleum coke, jet fuel, kerosene, other petroleum, and waste oil.10Included in "Conventional Hydroelectric Power."
3Natural gas, plus a small amount of supplemental gaseous fuels that cannot be identified separately.11Through 1988, all data except hydroelectric are for electric utilities only; hydroelectric data through 1988
include industrial plants as well as electric utilities. Beginning in 1989, data are for electric utilities, independent
power producers, commercial plants, and industrial plants.
4Blast furnace gas, propane gas, and other manufactured and waste gases derived from fossil fuels.R=Revised. P=Preliminary. NA=Not available. (s)=Less than 0.05 billion killowatthours.
5Pumped storage facility production minus energy used for pumping.Notes: · See Note 1, "Coverage of Electricity Statistics," at end of section. · Totals may not equal sum of
components due to independent rounding.
6Wood, black liquor, and other wood waste.Web Page: For related information, see http://www.eia.doe.gov/fuelelectric.html.
7Municipal solid waste, landfill gas, sludge waste, tires, agricultural byproducts, and other biomass.Sources: · 1949-1988Table 8.2b for electric power sector, and Table 8.1 for industrial sector. · 1989
forwardTables 8.2b and 8.2d.
8Solar thermal and photovoltaic energy.
US Generation
Hydro
Thermal
Nuclear
G/S/W/B
Others
year
TWh
US Demand
Table 3.2. Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Council Region, Summer, 1994 through 2005
(Megawatts)
Region and Item200520042003200220012000199919981997199619951994
ECAR[1]
Net Internal Demand[2]NA953009848710125110023598651940729235991103885738564384967
Capacity Resources[3]NA127919123755119736113136115379107451105545105106104953103003101605
Capacity Margin (percent)[4]NA25.520.415.411.414.512.512.513.315.616.916.4
ERCOT
Net Internal Demand[2]590605853159282558335510653649516975025447746456364499043630
Capacity Resources[3]667247385074764768497079769622654235978855771552305507454219
Capacity Margin (percent)[4]11.520.720.727.322.222.92115.914.417.418.319.5
FRCC
Net Internal Demand[2]459504224340387379513893235666348323456232874318683164930537
Capacity Resources[3]502004857946806433424229043083406453970839613382373828237577
Capacity Margin (percent)[4]8.51313.712.47.917.214.3131716.717.318.7
MAAC[1]
Net Internal Demand[2]NA5204953566542965401551358493254762646548456284522444571
Capacity Resources[3]NA6616765897636195953360679578315551156155567745688156271
Capacity Margin (percent)[4]NA21.318.714.79.315.414.714.217.119.620.520.8
MAIN[1]
Net Internal Demand[2]NA5049953617532675303251845471654557045194444704322942611
Capacity Resources[3]NA6567767410670256595064170559845272252160528805211250963
Capacity Margin (percent)[4]NA23.120.520.519.619.215.813.613.415.91716.4
MRO (U.S.)[5]
Net Internal Demand[2]382662909428775288252712528006306062976628221272982748726855
Capacity Resources[3]467923583033287342593227134236353733477334027331213266532267
Capacity Margin (percent)[4]18.218.813.615.915.918.213.514.417.117.615.916.8
NPCC (U.S.)
Net Internal Demand[2]574025158053936551645588854270534505176050240489504829047465
Capacity Resources[3]722587153270902662086376063376630776043960729585926236861906
Capacity Margin (percent)[4]20.627.923.916.712.314.415.314.417.316.522.623.3
ReliabilityFirst[6]
Net Internal Demand[2]190200NANANANANANANANANANANA
Capacity Resources[3]220000NANANANANANANANANANANA
Capacity Margin (percent)[4]13.5NANANANANANANANANANANA
SERC
Net Internal Demand[2]186049153024148380154459144399151527142726138146134968109270105785101885
Capacity Resources[3]219749182861177231172485171530169760160575158360155016126196127562120044
Capacity Margin (percent)[4]15.316.316.310.515.810.711.112.812.913.417.115.1
SPP
Net Internal Demand[2]410793938339428382983880739056378073640237009590175795156395
Capacity Resources[3]463764800045802472334553046109431114255443591693446935469198
Capacity Margin (percent)[4]11.41813.918.914.815.312.314.515.114.916.418.5
WECC (U.S.)
Net Internal Demand[2]1284641212051208941170321072941169131121771116411044861017289961299724
Capacity Resources[3]160026155455150277142624124193141640136274135270135687135049130180127533
Capacity Margin (percent)[4]19.72219.617.913.617.517.717.52324.723.521.8
Contiguous U.S.
Net Internal Demand[2]746470692908696752696376674833680941653857638086618389602438589860578640
Capacity Resources[3]882125875870856131833380788990808054765744744670737855730376727481711583
Capacity Margin (percent)[4]15.420.918.616.414.515.714.614.316.217.518.918.7
[1] ECAR, MAAC, and MAIN dissolved at the end-of-2005. Utility membership joined other reliability regional councils. Also, see Footnote 6.
[2] Net Internal Demand represents the system demand that is planned for, which is set to equal Internal Demand less Direct Control Load Management and Interruptible Demand by the electric power industry`s reliability authority. See Technical Notes for d
[3] Capacity Resources: Utility- and IPP-owned generating capacity that is existing or in various stages of planning or construction, less inoperable capacity, plus planned capacity purchases from other resources, less planned capacity sales.
[4] Capacity Margin is the amount of unused available capability of an electric power system at peak load as a percentage of capacity resources.
[5] Regional name has changed from Mid-Continent Area Power Pool to Midwest Reliability Organization.
[6] ReliabilityFirst Corporation (RFC) came into existence on January 1, 2006, and submitted a consolidated filing covering the historical NERC regions of ECAR, MAAC, and MAIN. Many of the former utility members joined RFC.
NA = Not available.
Notes: • NERC Regional Council names may be found in the Glossary reference. • Represents an hour of a day during the associated peak period. • The summer peak period begins on June 1 and extends through September 30. • The MRO, SERC, and SPP regional b
Sources: Energy Information Administration, Form EIA-411, "Coordinated Bulk Power Supply Program."
US Demand
Demand
Capacity
year
GW
Canada
Electricity Generation and Consumption in Canada (in billions of kilowatt-hours)
19931994199519961997199819992000200120022003
Net Generation518.1539.7544.1557.2556.9545562.2587.9570.9582.2566.3
hydroelectric320.3326.4332.6352.1347.2328.6342.1354.7329.7346.8322.5
nuclear90.1102.49388.177.967.769.869.272.971.870.8
geo/solar/wind/biomass4.55.45.35.55.96.37.57.588.58.5
conventional thermal103.2105.5113.3111.5126142.4142.8156.5160.3155.2154.5
Net Consumption455.1458.1467.9477.9482.4479.1492.9510.6508.6518.3520.9
Imports2.70.92.51.97.511.71312.716.11323.6
Exports29.444.840.642.24339.542.948.838.436.129.3
Canada
Hydro
Thermal
Nuclear
G/S/W/B
Consumption
year
TWh
Chart2
20052005
20042004
20032003
20022002
20012001
20002000
19991999
19981998
19971997
19961996
19951995
19941994
Demand
Reserves
year
GW
746470
882125
692908
875870
696752
856131
696376
833380
674833
788990
680941
808054
653857
765744
638086
744670
618389
737855
602438
730376
589860
727481
578640
711583
Sheet1
Table 3.2. Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Council Region, Summer, 1994 through 2005
(Megawatts)
Region and Item200520042003200220012000199919981997199619951994
ECAR[1]
Net Internal Demand[2]NA953009848710125110023598651940729235991103885738564384967
Capacity Resources[3]NA127919123755119736113136115379107451105545105106104953103003101605
Capacity Margin (percent)[4]NA25.520.415.411.414.512.512.513.315.616.916.4
ERCOT
Net Internal Demand[2]590605853159282558335510653649516975025447746456364499043630
Capacity Resources[3]667247385074764768497079769622654235978855771552305507454219
Capacity Margin (percent)[4]11.520.720.727.322.222.92115.914.417.418.319.5
FRCC
Net Internal Demand[2]459504224340387379513893235666348323456232874318683164930537
Capacity Resources[3]502004857946806433424229043083406453970839613382373828237577
Capacity Margin (percent)[4]8.51313.712.47.917.214.3131716.717.318.7
MAAC[1]
Net Internal Demand[2]NA5204953566542965401551358493254762646548456284522444571
Capacity Resources[3]NA6616765897636195953360679578315551156155567745688156271
Capacity Margin (percent)[4]NA21.318.714.79.315.414.714.217.119.620.520.8
MAIN[1]
Net Internal Demand[2]NA5049953617532675303251845471654557045194444704322942611
Capacity Resources[3]NA6567767410670256595064170559845272252160528805211250963
Capacity Margin (percent)[4]NA23.120.520.519.619.215.813.613.415.91716.4
MRO (U.S.)[5]
Net Internal Demand[2]382662909428775288252712528006306062976628221272982748726855
Capacity Resources[3]467923583033287342593227134236353733477334027331213266532267
Capacity Margin (percent)[4]18.218.813.615.915.918.213.514.417.117.615.916.8
NPCC (U.S.)
Net Internal Demand[2]574025158053936551645588854270534505176050240489504829047465
Capacity Resources[3]722587153270902662086376063376630776043960729585926236861906
Capacity Margin (percent)[4]20.627.923.916.712.314.415.314.417.316.522.623.3
ReliabilityFirst[6]
Net Internal Demand[2]190200NANANANANANANANANANANA
Capacity Resources[3]220000NANANANANANANANANANANA
Capacity Margin (percent)[4]13.5NANANANANANANANANANANA
SERC
Net Internal Demand[2]186049153024148380154459144399151527142726138146134968109270105785101885
Capacity Resources[3]219749182861177231172485171530169760160575158360155016126196127562120044
Capacity Margin (percent)[4]15.316.316.310.515.810.711.112.812.913.417.115.1
SPP
Net Internal Demand[2]410793938339428382983880739056378073640237009590175795156395
Capacity Resources[3]463764800045802472334553046109431114255443591693446935469198
Capacity Margin (percent)[4]11.41813.918.914.815.312.314.515.114.916.418.5
WECC (U.S.)
Net Internal Demand[2]1284641212051208941170321072941169131121771116411044861017289961299724
Capacity Resources[3]160026155455150277142624124193141640136274135270135687135049130180127533
Capacity Margin (percent)[4]19.72219.617.913.617.517.717.52324.723.521.8
Contiguous U.S.
Net Internal Demand[2]746470692908696752696376674833680941653857638086618389602438589860578640
Capacity Resources[3]882125875870856131833380788990808054765744744670737855730376727481711583
Capacity Margin (percent)[4]15.420.918.616.414.515.714.614.316.217.518.918.7
[1] ECAR, MAAC, and MAIN dissolved at the end-of-2005. Utility membership joined other reliability regional councils. Also, see Footnote 6.
[2] Net Internal Demand represents the system demand that is planned for, which is set to equal Internal Demand less Direct Control Load Management and Interruptible Demand by the electric power industry`s reliability authority. See Technical Notes for d
[3] Capacity Resources: Utility- and IPP-owned generating capacity that is existing or in various stages of planning or construction, less inoperable capacity, plus planned capacity purchases from other resources, less planned capacity sales.
[4] Capacity Margin is the amount of unused available capability of an electric power system at peak load as a percentage of capacity resources.
[5] Regional name has changed from Mid-Continent Area Power Pool to Midwest Reliability Organization.
[6] ReliabilityFirst Corporation (RFC) came into existence on January 1, 2006, and submitted a consolidated filing covering the historical NERC regions of ECAR, MAAC, and MAIN. Many of the former utility members joined RFC.
NA = Not available.
Notes: • NERC Regional Council names may be found in the Glossary reference. • Represents an hour of a day during the associated peak period. • The summer peak period begins on June 1 and extends through September 30. • The MRO, SERC, and SPP regional b
Sources: Energy Information Administration, Form EIA-411, "Coordinated Bulk Power Supply Program."
Sheet1
Demand
Capacity
year
GW
Sheet2
Sheet3
Supply Technologies• Canada’s electricity supply and demand [NRC]:
0
100
200
300
400
500
600
700
1993 19941995 19961997 1998 19992000 20012002 2003
year
TWh
0
10
20
30
40
50
60
70
80
GW
G/S/W/BNuclearThermalHydroGW Consumption
15
Chart6
199319931993199352.6736111111
199419941994199453.0208333333
199519951995199554.1550925926
199619961996199655.3125
199719971997199755.8333333333
199819981998199855.4513888889
199919991999199957.0486111111
200020002000200059.0972222222
200120012001200158.8657407407
200220022002200259.9884259259
200320032003200360.2893518519
Hydro
Thermal
Nuclear
G/S/W/B
GW Consumption
year
TWh
GW
320.3
103.2
90.1
4.5
326.4
105.5
102.4
5.4
332.6
113.3
93
5.3
352.1
111.5
88.1
5.5
347.2
126
77.9
5.9
328.6
142.4
67.7
6.3
342.1
142.8
69.8
7.5
354.7
156.5
69.2
7.5
329.7
160.3
72.9
8
346.8
155.2
71.8
8.5
322.5
154.5
70.8
8.5
US Generation
Table 8.2a Electricity Net Generation: Total (All Sectors), 1949-2005
(Sum of Tables 8.2b and 8.2d; Thousand Kilowatthours)
YearFossil FuelsRenewable EnergyOther 9Total
Hydro-
Nuclearelectric
Coal 1Petroleum 2TotalElectricPumpedConventionalBiomassSolar 8WindTotal
NaturalOtherPowerStorage 5HydroelectricGeo-
Gas 3Gases 4Power Wood 6Waste 7thermal
1949135,451,32028,547,23236,966,709NA200,965,2610[10]94,772,992386,036NANANANA95,159,028NA296,124,289
1950154,519,99433,734,28844,559,159NA232,813,4410[10]100,884,575389,585NANANANA101,274,160NA334,087,601
1951185,203,65728,712,11656,615,678NA270,531,4510[10]104,376,120390,784NANANANA104,766,904NA375,298,355
1952195,436,66629,749,76168,453,088NA293,639,5150[10]109,708,251481,647NANANANA110,189,898NA403,829,413
1953218,846,32538,404,44979,790,975NA337,041,7490[10]109,617,396389,418NANANANA110,006,814NA447,048,563
1954239,145,96631,520,17593,688,271NA364,354,4120[10]111,639,772263,434NANANANA111,903,206NA476,257,618
1955301,362,69837,138,30895,285,441NA433,786,4470[10]116,235,946276,469NANANANA116,512,415NA550,298,862
1956338,503,48435,946,772104,037,208NA478,487,4640[10]125,236,621151,678NANANANA125,388,299NA603,875,763
1957346,386,20740,499,357114,212,525NA501,098,0899,670[10]133,357,930176,678NANANANA133,534,608NA634,642,367
1958344,365,78140,371,540119,759,302NA504,496,623164,691[10]143,614,545175,003NANANANA143,789,548NA648,450,862
1959378,424,21046,839,719146,619,391NA571,883,320188,101[10]141,154,533152,877NANANANA141,307,410NA713,378,831
1960403,067,35747,986,893157,969,787NA609,024,037518,182[10]149,440,035140,166NA33,368NANA149,613,569NA759,155,788
1961421,870,66948,519,376169,285,998NA639,676,0431,692,149[10]155,536,444125,734NA94,021NANA155,756,199NA797,124,391
1962450,249,23848,879,536184,301,293NA683,430,0672,269,685[10]172,015,646127,796NA100,462NANA172,243,904NA857,943,656
1963493,926,71952,001,610201,602,073NA747,530,4023,211,836[10]168,990,140127,940NA167,953NANA169,286,033NA920,028,271
1964526,230,01956,953,712220,038,479NA803,222,2103,342,743[10]180,301,506148,076NA203,791NANA180,653,373NA987,218,326
1965570,925,95164,801,224221,559,434NA857,286,6093,656,699[10]196,984,345268,804NA189,214NANA197,442,363NA1058385671
1966613,474,80078,926,172251,151,562NA943,552,5345,519,909[10]197,937,538333,926NA187,988NANA198,459,452NA1147531895
1967630,483,36389,270,724264,805,785NA984,559,8727,655,214[10]224,948,605315,688NA316,309NANA225,580,602NA1217795688
1968684,904,580104,275,833304,432,723NA109361313612,528,419[10]225,873,158375,062NA435,826NANA226,684,046NA1332825601
1969706,001,240137,847,152333,278,945NA117712733713,927,839[10]253,468,237319,933NA614,710NANA254,402,880NA1445458056
1970704,394,479184,183,402372,890,063NA126146794421,804,448[10]250,957,442136,000220,450525,183NANA251,839,075NA1535111467
1971713,102,454220,225,423374,030,784NA130735866138,104,545[10]269,531,459111,330199,869547,752NANA270,390,410NA1615853616
1972771,131,265274,295,961375,747,796NA142117502254,091,135[10]275,928,828130,859199,7741,452,795NANA277,712,256NA1752978413
1973847,651,470314,342,926340,858,192NA150285258883,479,463[10]275,430,574130,403197,8901,965,713NANA277,724,580NA1864056631
1974828,432,921300,930,538320,065,088NA1449428547113,975,740[10]304,211,80568,523182,1542,452,636NANA306,915,118NA1870319405
1975852,786,222289,094,900299,778,408NA1441659530172,505,075[10]303,152,67317,551173,5683,246,172NANA306,589,964NA1920754569
1976944,390,993319,988,137294,623,911NA1559003041191,103,531[10]286,924,23884,386182,0783,616,407NANA290,807,109NA2040913681
1977985,218,596358,178,822305,504,859NA1648902277250,883,283[10]223,598,687307,634173,2713,582,335NANA227,661,927NA2127447487
1978975,742,083365,060,441305,390,836NA1646193360276,403,070[10]283,465,224197,193140,4342,977,630NANA286,780,481NA2209376911
19791075037091303,525,209329,485,107NA1708047407255,154,623[10]283,075,976299,859198,1923,888,968NANA287,462,995NA2250665025
19801161562368245,994,189346,239,900NA1753796457251,115,575[10]279,182,090275,366157,7975,073,079NANA284,688,332NA2289600364
19811203203232206,420,775345,777,173NA1755401180272,673,503[10]263,844,664245,201122,6285,686,163NANA269,898,656NA2297973339
19821192004204146,797,490305,259,749NA1644061443282,773,248[10]312,374,013195,940124,9794,842,865NANA317,537,797NA2244372488
19831259424279144,498,593274,098,458NA1678021330293,677,119[10]335,290,855215,867162,7456,075,101NA2,668341,747,236NA2313445685
19841341680752119,807,913297,393,596NA1758882261327,633,549[10]324,311,365461,411424,5407,740,5045,2486,490332,949,558NA2419465368
19851402128125100,202,273291,945,965NA1794276363383,690,727[10]284,310,538743,294639,5789,325,23010,6305,762295,035,032NA2473002122
19861385831452136,584,867248,508,433NA1770924752414,038,063[10]294,005,219491,509685,23410,307,95414,0324,189305,508,137NA2490470952
19871463781289118,492,571272,620,803NA1854894663455,270,382[10]252,856,093783,088693,94110,775,46110,4973,541265,122,621NA2575287666
19881540652774148,899,561252,800,704NA1942353039526,973,047[10]226,100,803935,986738,25810,300,0799,094871238,085,091NA2707411177
1989111583779139164,517,957352,628,8667,862,4182108788380529,354,717[10]271,976,93627,236,6689,162,88714,593,443250,6012,112,043325,332,5783,829,8492967305524
19901594011479126,621,142372,765,15410,382,8302103780605576,861,678-3,507,741292,865,84632,521,88913,260,37915,434,271367,0872,788,600357,238,0723,615,6633037988277
19911590622748119,751,573381,553,01711,335,5932103262931612,565,087-4,541,435288,994,18933,725,35815,664,74615,966,444471,7652,950,951357,773,4534,738,8493073798885
19921621206039100,154,163404,074,37213,270,2372138704811618,776,263-4,176,582253,088,00336,528,66217,816,03516,137,962399,6402,887,523326,857,8253,719,8873083882204
19931690070232112,788,180414,926,79812,955,7982230741008610,291,214-4,035,572280,494,00837,623,40718,333,03116,788,565462,4523,005,827356,707,2903,487,1563197191096
19941690693864105,900,983460,218,68213,319,0512270132580640,439,832-3,377,825260,125,73337,937,36419,128,59515,535,453486,6223,447,109336,660,8763,666,9253247522388
1995170942646874,554,065496,057,94513,869,9512293908429673,402,123-2,725,131310,832,74836,521,08220,404,97113,378,258496,8213,164,253384,798,1334,103,8083353487362
1996179519559381,411,225455,055,57614,355,8132346018207674,728,546-3,088,078347,162,06336,800,31020,911,33614,328,684521,2053,234,069422,957,6673,571,2793444187621
1997184501573692,554,873479,398,67013,350,6342430319913628,644,171-4,039,905356,453,29536,948,44121,709,07314,726,102511,1683,288,035433,636,1143,611,9903492172283
19981873515690128,800,173531,257,10413,492,2302547065197673,702,104-4,467,280323,335,66136,338,38422,447,93514,773,918502,4733,025,696400,424,0673,571,4103620295498
19991881087224118,060,838556,396,12714,125,5922569669781728,254,124-6,096,899319,536,02937,040,73422,572,17514,827,013495,0824,487,998398,959,0314,023,7733694809810
20001966264596111,220,965601,038,15913,954,7582692478478753,892,940-5,538,860275,572,59737,594,86623,131,31414,093,158493,3755,593,261356,478,5714,793,9143802105043
20011903955943124,880,222639,129,1209,039,4732677004758768,826,308-8,823,445216,961,04435,199,90521,764,56413,740,501542,7556,737,332294,946,1014,689,9313736643653
2002193313035394,567,394691,005,74611,462,6852730166178780,064,087-8,742,928264,328,83238,665,04022,856,63214,491,310554,83110,354,279351,250,9245,713,9913858452252
20031973736750119,405,640649,907,54115,600,0202758649951763,732,695-8,535,065275,806,32837,529,09823,735,67214,424,231534,00111,187,467363,216,7976,120,8273883185205
20041978620218120,645,844[R]708978606[R]16,766,0902825010758788528387[R]-8,488,210268,417,308[R]37,576,418[R]23,302,172[R]14,810,975[R]575,15514,143,741[R]358,825,7696,678,560[R]3970555264
2005P2014172634121,910,223751,549,11115,643,6822903275650780,464,675-6,568,160265,077,68037,828,37923,996,55615,124,491541,39214,597,163357,165,6613,650,8964037988722
1Anthracite, bituminous coal, subbituminous coal, lignite, waste coal, and coal synfuel.9Batteries, chemicals, hydrogen, pitch, purchased steam, sulfur, and miscellaneous technologies.
2Distillate fuel oil, residual fuel oil, petroleum coke, jet fuel, kerosene, other petroleum, and waste oil.10Included in "Conventional Hydroelectric Power."
3Natural gas, plus a small amount of supplemental gaseous fuels that cannot be identified separately.11Through 1988, all data except hydroelectric are for electric utilities only; hydroelectric data through 1988
include industrial plants as well as electric utilities. Beginning in 1989, data are for electric utilities, independent
power producers, commercial plants, and industrial plants.
4Blast furnace gas, propane gas, and other manufactured and waste gases derived from fossil fuels.R=Revised. P=Preliminary. NA=Not available. (s)=Less than 0.05 billion killowatthours.
5Pumped storage facility production minus energy used for pumping.Notes: · See Note 1, "Coverage of Electricity Statistics," at end of section. · Totals may not equal sum of
components due to independent rounding.
6Wood, black liquor, and other wood waste.Web Page: For related information, see http://www.eia.doe.gov/fuelelectric.html.
7Municipal solid waste, landfill gas, sludge waste, tires, agricultural byproducts, and other biomass.Sources: · 1949-1988Table 8.2b for electric power sector, and Table 8.1 for industrial sector. · 1989
forwardTables 8.2b and 8.2d.
8Solar thermal and photovoltaic energy.
US Generation
Hydro
Thermal
Nuclear
G/S/W/B
Others
year
TWh
US Demand
Table 3.2. Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Council Region, Summer, 1994 through 2005
(Megawatts)
Region and Item200520042003200220012000199919981997199619951994
ECAR[1]
Net Internal Demand[2]NA953009848710125110023598651940729235991103885738564384967
Capacity Resources[3]NA127919123755119736113136115379107451105545105106104953103003101605
Capacity Margin (percent)[4]NA25.520.415.411.414.512.512.513.315.616.916.4
ERCOT
Net Internal Demand[2]590605853159282558335510653649516975025447746456364499043630
Capacity Resources[3]667247385074764768497079769622654235978855771552305507454219
Capacity Margin (percent)[4]11.520.720.727.322.222.92115.914.417.418.319.5
FRCC
Net Internal Demand[2]459504224340387379513893235666348323456232874318683164930537
Capacity Resources[3]502004857946806433424229043083406453970839613382373828237577
Capacity Margin (percent)[4]8.51313.712.47.917.214.3131716.717.318.7
MAAC[1]
Net Internal Demand[2]NA5204953566542965401551358493254762646548456284522444571
Capacity Resources[3]NA6616765897636195953360679578315551156155567745688156271
Capacity Margin (percent)[4]NA21.318.714.79.315.414.714.217.119.620.520.8
MAIN[1]
Net Internal Demand[2]NA5049953617532675303251845471654557045194444704322942611
Capacity Resources[3]NA6567767410670256595064170559845272252160528805211250963
Capacity Margin (percent)[4]NA23.120.520.519.619.215.813.613.415.91716.4
MRO (U.S.)[5]
Net Internal Demand[2]382662909428775288252712528006306062976628221272982748726855
Capacity Resources[3]467923583033287342593227134236353733477334027331213266532267
Capacity Margin (percent)[4]18.218.813.615.915.918.213.514.417.117.615.916.8
NPCC (U.S.)
Net Internal Demand[2]574025158053936551645588854270534505176050240489504829047465
Capacity Resources[3]722587153270902662086376063376630776043960729585926236861906
Capacity Margin (percent)[4]20.627.923.916.712.314.415.314.417.316.522.623.3
ReliabilityFirst[6]
Net Internal Demand[2]190200NANANANANANANANANANANA
Capacity Resources[3]220000NANANANANANANANANANANA
Capacity Margin (percent)[4]13.5NANANANANANANANANANANA
SERC
Net Internal Demand[2]186049153024148380154459144399151527142726138146134968109270105785101885
Capacity Resources[3]219749182861177231172485171530169760160575158360155016126196127562120044
Capacity Margin (percent)[4]15.316.316.310.515.810.711.112.812.913.417.115.1
SPP
Net Internal Demand[2]410793938339428382983880739056378073640237009590175795156395
Capacity Resources[3]463764800045802472334553046109431114255443591693446935469198
Capacity Margin (percent)[4]11.41813.918.914.815.312.314.515.114.916.418.5
WECC (U.S.)
Net Internal Demand[2]1284641212051208941170321072941169131121771116411044861017289961299724
Capacity Resources[3]160026155455150277142624124193141640136274135270135687135049130180127533
Capacity Margin (percent)[4]19.72219.617.913.617.517.717.52324.723.521.8
Contiguous U.S.
Net Internal Demand[2]746470692908696752696376674833680941653857638086618389602438589860578640
Capacity Resources[3]882125875870856131833380788990808054765744744670737855730376727481711583
Capacity Margin (percent)[4]15.420.918.616.414.515.714.614.316.217.518.918.7
[1] ECAR, MAAC, and MAIN dissolved at the end-of-2005. Utility membership joined other reliability regional councils. Also, see Footnote 6.
[2] Net Internal Demand represents the system demand that is planned for, which is set to equal Internal Demand less Direct Control Load Management and Interruptible Demand by the electric power industry`s reliability authority. See Technical Notes for d
[3] Capacity Resources: Utility- and IPP-owned generating capacity that is existing or in various stages of planning or construction, less inoperable capacity, plus planned capacity purchases from other resources, less planned capacity sales.
[4] Capacity Margin is the amount of unused available capability of an electric power system at peak load as a percentage of capacity resources.
[5] Regional name has changed from Mid-Continent Area Power Pool to Midwest Reliability Organization.
[6] ReliabilityFirst Corporation (RFC) came into existence on January 1, 2006, and submitted a consolidated filing covering the historical NERC regions of ECAR, MAAC, and MAIN. Many of the former utility members joined RFC.
NA = Not available.
Notes: • NERC Regional Council names may be found in the Glossary reference. • Represents an hour of a day during the associated peak period. • The summer peak period begins on June 1 and extends through September 30. • The MRO, SERC, and SPP regional b
Sources: Energy Information Administration, Form EIA-411, "Coordinated Bulk Power Supply Program."
US Demand
Demand
Capacity
year
GW
Canada
Electricity Generation and Consumption in Canada (in billions of kilowatt-hours)
19931994199519961997199819992000200120022003
Net Generation518.1539.7544.1557.2556.9545562.2587.9570.9582.2566.3
hydroelectric320.3326.4332.6352.1347.2328.6342.1354.7329.7346.8322.5
nuclear90.1102.49388.177.967.769.869.272.971.870.8
geo/solar/wind/biomass4.55.45.35.55.96.37.57.588.58.5
conventional thermal103.2105.5113.3111.5126142.4142.8156.5160.3155.2154.5
Net Consumption455.1458.1467.9477.9482.4479.1492.9510.6508.6518.3520.9
Net Consumption (GW)52.673611111153.020833333354.155092592655.312555.833333333355.451388888957.048611111159.097222222258.865740740759.988425925960.2893518519
Imports2.70.92.51.97.511.71312.716.11323.6
Exports29.444.840.642.24339.542.948.838.436.129.3
Canada
Hydro
Thermal
Nuclear
G/S/W/B
Consumption GW
year
TWh
GW
Supply Technologies• Supply and demand in Ontario-Canada [IESO, ON gov.]:
16
2009
Supply Technologies• Nuclear power
generation [European Nuclear Society]: – Clean from green
house gases emissions point of view.
– To supply base load since does not control f.
17
Supply Technologies• Coal plant (thermal) [TVA]:
– “Dirty” from GHG point of view. – Mainly to supply base load given slow response.
18
Supply Technologies• Combined-cycle plant
(thermal) [power-technology.com]: – Gas + steam turbine.– Cleaner that coal
plants.– To supply base
(steam) and peak load (gas).
19
Supply Technologies• Hydro plant [US DOE]:
– Large and small (run of the river).
– Supplies base and peak load (fast response)
20
wind turbine
gears
generator
substation
• Wind power [EON]: Clean, but not yet dispatchable.
Supply Technologies
21
Supply Technologies– Types of wind power
units [PSAT]:
22
Supply Technologies• Solar power:
– PV [an-energy-efficient-home.com] and thermal [acciona-energia.com]
– Dispatchable with energy storage systems.
23
Supply Technologies• Load supply in Ontario by generator type [MEI]:
24
Generator• Generator components:
– Generator:– Synchronous machine: AC stator and DC rotor.– Excitation system: DC generator or static converter plus voltage
regulator and stabilizer.
25
Generator• Generator with DC exciter and associated controls:
26
Generator• Generator with static exciter and associated controls:
27
Synchronous Machine
28
Synchronous Machine• Electrical (inductor) equations:
where [v] = [vas vbs vcs vF vD vQ1 vQ2]T and similarly for [i] and [λ].• Mechanical (Newton’s) equations:
29
Synchronous Machine• Park’s transformation equations:
30
Synchronous Machine• Detailed dqo equations:
– Stator equations:
– Rotor equations:
31
Synchronous Machine– Magnetic flux equations:
32
Synchronous Machine– Mechanical equations:
33
Synchronous Machine• 3-phase short circuit at generator terminals:
Ea(0) is the open-circuit RMS phase voltage
34
Simplified Models • Assuming balanced operation (null zero
sequence), the detailed machine model can be reduced to phasor models useful for stability and steady state analysis.
• Phasor models are based on the following assumptions:– The rotor speed does not deviate “much” from the
synchronous speed, i.e. ωr ≈ ωs = (2/P) 2 π fo, i.e.θr = ωs t + π/2 + δ
– The rate of change in rotor speed is “small”, i.e. |dωr/d t | ≈ 0.
35
Simplified Models• Subtransient models capture the full machine
electrical dynamics, including the “few” initial cycles (ms) associated with the damper windings.
• Transient models capture the machine electrical dynamics starting with the field and induced rotor core current transient response. Damper windings transients are neglected.
• Steady sate models capture the machine electrical response when all transients have disappeared after “a few” seconds.
36
Subtransient Model
37
Subtransient Model
38
Subtransient Model• The subtransient reactances (Xq", Xd") and open circuit time
constants (Tqo", Tdo"), as well as the transient reactances (Xq', Xd') and open circuit time constants (Tqo', Tdo') are directly associated with the machine internal resistances and inductances.
• In practice, most of these constants are determined from short circuit tests.
• All the E voltages are “internal” machine voltages directly associated with the “internal” phase angle δ.
• The internal field voltage Ef is directly proportional to the actual field dc voltage, and is typically controlled by the voltage regulator.
• The mechanical power Pm is controlled through the governor.
39
Subtransient Model• Typical machine parameters:
H = π fo M = J ωo/SBXo = 0.1 to 0.7 of Xd"
rs = Ra
40
Subtransient Model
41
Transient Model• Obtained by eliminating the damper
winding dynamic equations as follows:
42
Transient Model
43
Transient Model• The damping D in the mechanical
equations, which is typically a small value, is assumed to be large to indirectly model the significant damping effect of these windings on ωr.
• It’s the typical model used in stability studies.
44
Transient Model• Neglecting the induced currents in the rotor (winding
Q2):
leads to the transient equations:
45
Transient Model• The phasor diagram in this case is:
46
Transient Model• For faults near the generator terminals, the q axis has
little effect on the system response, i.e. Iqs ≈ 0.• This results in the classical voltage source and transient
reactance generator model used in most theoretical stability studies:
47
Transient Model
where:
48
Transient Model• A further approximation in some cases is used by
neglecting the field dynamics, i.e. Tdo' = 0. • In this case, Ea' is a “fixed “ variable controlled
directly through the voltage regulator via Ef, i.e. Ea' = Ef.
• The limits in the voltage regulator are used to represent limits in the field and armature currents.
• These limits can be “soft”, i.e. allowed to temporarily exceed the hard steady state limits, to represent under- and over-excitation.
49
Controls• A simple voltage regulator model (IEEE
type 1):
50
Controls• A static voltage regulator model:
51
Controls• A simple governor model (hydraulic valve
plus turbine):
52
Controls• A governor-steam turbine model:
53
Steady State Model• When all transients are neglected, the generator model
becomes:
which, for a round rotor machine (Xd = Xq), leads to the classical steady state generator model:
54
Steady State Model• Based on this simple
model, the field and armature current limits can be used to define the generator capability curves (for a given terminal voltage Vas = Vt):
55
Steady State Model• Considering the voltage regulator effect, the generator can be
modeled as a constant terminal voltage within the generator reactive power capability, delivering constant power (Pm).
• This yields the PV generator model for power flow studies:
where P = Pm = constant, and V = Vt = constant for Qmin ≤ Q ≤ Qmax; otherwise, Q = Qmax/min and V is allowed to change.
56
Single-phase Transformers
• The basic characteristics of this device are:– Flux leakage around the transformer windings is represented by a leakage inductance
Ll.– The core is made of magnetic material and is represented by a magnetization
inductance (Lm>>Ll), but saturates.– Losses in the windings (Cu wires) and core (hysteresis and induced currents) are
represented with lumped resistances (r and Gm).– Steps up or down the voltage/current depending on the turn ratio
a = N1/N2 = V1/V2
57
Single-phase Transformers• The phasor equivalent circuit is, assuming
Zm >> Zl1:
58
Single-phase Transformers• Or Π form:
59
Single-phase Transformers• Neglecting Zm (Ym is small given the core
magnetic properties):
60
Single-phase Transformers• Some programs/data formats (e.g. PSAT and IEEE
common format) model the transformer as follows:
• This is equivalent to the previous model but seen from the secondary side.
61
Load Tap Changers (LTCs)• Certain transformer have built-in Under-Load Tap Changers (ULTCs) or
LTCs.• This are either operated manually (locally or remote controlled) or
automatically with a voltage regulator; the voltage control range is limited (approximately ± 10%) and on discrete steps (about ± 1%).
• The time response is in the order of minutes, with 1-2 min. delays, due to ULTCs being implemented using electromechanical systems.
• These are typically used to control the load voltage side, and hence are used at subtransmission substations.
• Nowadays, power electronic switches are used, leading to Thyristor Controller Voltage Regulators (TCVR), which are faster voltage controllers and are considered Flexible AC Transmission Systems (FACTS).
• These types of transformers are modeled using the same transformer models, but a may be assumed to be a discrete controlled variable through a voltage regulator with a dead-band.
62
Phase Shifters• Transformers with special
connections and under-load tap changers can also be used for phase shift control and are known as Phase Shifters:
63
Phase Shifters• These control the phase shift difference between the two terminal voltages
within approximately ± 30o, thus increasing the power capacity of a transmission line.
• It is also used to eliminate “loop” currents, i.e. “normalize” a system (e.g. interconnection between Ontario and Michigan/NY).
• Phase shifters are modeled using a similar model but the tap is a phasor as opposed to a scalar:
• A Π equivalent circuit cannot be used in this case.
64
Three-phase Transformers
65
Three-phase Transformers• The 3 single-phase transformers form a
3-phase bank that induces a phase shift, depending on the connection:
66
Three-phase Transformers
67
Three-phase Transformers• In balanced, “normal” systems, the net phase shift between
the generation and load sides is zero, and hence is neglected during system analyses:
• In these systems, the p.u. per-phase models of the transformers are identical to the equivalent single-phase transformer models.
68
Saturation• The magnetization inductance Lm changes with
the magnetization current due to saturation of the magnetic core.
• Saturation occurs due to a reduction on the number of “free” magnetic dipoles in the enriched core.
• This results in the core behaving more like air than a magnet, i.e. magnetic “conductivity” decreases.
• It’s typically represented using a piece-wise linear model.
69
Transmission Lines (and Cables)
70
Transmission Lines• In transmission systems, most lines are overhead lines,
like for example the 500 kV near the 401 in Milton:
71
Transmission Lines• If a line is transposed to balance the phases, the length
of the barrel B must be much less than the wavelength (s/f ≈ 5,000 km @ 60 Hz ) B ≈ 50 km), thus leading to:
72
Transmission Lines• Sequence transformation: Vopn = Ts-1 Vabc
Iopn = Ts-1 Iabc
• Similarly for [yopn] = Ts-1 [yabc] Ts.
73
Transmission Lines• Positive sequence (per-phase) phasor model:
74
Transmission Lines
Dm is the GMD of the 3 phases:
Rb' is the GMR of the bundled (Nb) and wires:
Rb is the GMR of the bundled:
75
Transmission Lines• This can be converted into the Π
equivalent circuit:
76
Loads• Load classification by demand level:
– Residential: lighting and heating (RL + controls); AC (motor + controls); appliances (small motors + controls)
– Commercial: similar types of devices as residential.– Industrial: motor drives (induction and dc motor-based mostly); arc
furnaces; lighting; heating; others (e.g. special motor drives).• By type:
– RLC + controls– Drives: ac/dc motors + electronic controls– Special (e.g. arc furnaces).
• Most controls are implemented using a variety of power electronic converters.
• Aggregate load models are necessary at the transmission system modeling level; only large loads are represented with their actual models.
77
Induction Motor
78
Induction Motor• Assuming a balanced, fundamental frequency (ω =ωo) system, the
model can be reduced to a p.u. “transient” model (3rd order model):
79
Induction Motor
80
Induction Motor• If the electromagnetic transients are neglected,
the system can be reduced to the following quasi-steady state equivalent circuit model:
81
Induction Motor• Or equivalently:
• Plus the mechanical equations.
82
Induction Motor• This simplification can be justified from the point
of view of the Torque-speed characteristic:
83
Induction Motor• If the mechanical dynamics are ignored, the slip S becomes a
fixed value, and hence the equivalent circuit can be reduced to a simple equivalent reactive impedance, i.e. a Z load.
• For loads with multiple IMs, an equivalent motor model can be used to represent these motors.
• Neglecting the motor dynamic equations in large or equivalent aggregate motors can lead to significant modeling errors, as the transient model and mechanical time constants can be on the same range as the generator time constants.
• Double-cage IMs can be modeled by introducing an additional inductance on the rotor side, which leads to a “subtransient” model.
84
Impedance Load Models• Ignoring “fast” and “slow” transients, certain loads can
be represented using an equivalent impedance.• A Z load model is typically used for a variety of
dynamic analysis of power systems.• Using these load models, an equivalent impedance
can be readily obtained for all loads connected at a particular bus at the transmission system level.
• ULTCs are used to connect distribution systems (subtransmission and LV systems and the loads connected to these) to the transmission system to control the steady state voltage on the load side.
85
Power Load Models• Hence, for “slow” dynamic analysis of balanced, fundamental
frequency system models:
• This is typically referred as a constant PQ model.
86
Power Load Models• Load recovery of certain loads (e.g thermostatic) with
respect to voltage changes can be modeled as:
87
Power Load Models• This results in the following time response:
88
Power Load Models• Certain loads have been shown to behave in steady
state as follows:
89
Power Load Models• ZIP model:
90
Power Load Models• Mixed dynamic model:
91
FACTS
92
• SVC and TCSC controllers are based on the following basic circuit topology:
TCR-FC
FC
TCR
+ v(t) -
93
TCR-FC• Each thyristor is “fired” every half cycle.• The firing angle α is “synchronized” with
respect to the zero-crossing of the voltage (or current).
• Hence, 90o ≤ α ≤ 180o for the TCR, since:
94
TCR-FC• For α = 90o ⇒ full XL (inductive)
LL
95
TCR-FC• For α = 120o ⇒ less inductive, more capacitive
LL
96
TCR-FC• For α = 160o ⇒ mostly capacitive, since iL(t) ≈ 0
LL
97
SVC
98
SVC• Assuming a sinusoidal bus voltage under
balanced, fundamental frequency operation, the controller can be modeled as:
99
SVC• This yields the following steady state
control characteristic:
100
TCSC
101
TCSC• The controller has a resonant point that must to
be avoided, as the controller becomes an open circuit:
102
TCSC• Thus, the controller limits on α have two regions
to avoid the resonant point (harmonics are high near this point).
• Assuming a sinusoidal line current, the balanced, fundamental frequency model for this controllers is:
103
TCSC• Most stability programs use a variable
impedance model to represent the TCSC, with limits defined by the corresponding α limits.
• The typical control for this type of model is:
104
TCSC• The power flow or “slow” control is designed to
maintain a constant controller impedance.• The stability or “fast” control is usually designed to
reduced system oscillations after contingencies.• The typical use of this type of controller in practice
is for the control of inter-area oscillations (e.g. North-South ac interconnection in Brazil).
• For simple series compensation, MSC are a much cheaper option; however, these can lead to Sub-synchronous Resonance (SSR) problems.
105
TCVR & TCPAR• TCVR and TCPAR are basically ULTC and
phase-shifters, respectively, with thyristor switching as opposed to electromechanical switching.
• Thus, these controllers have better dynamic response, i.e. smaller time constants, than the corresponding electromechanical-based devices.
• Controls are typically discrete, but with certain designs these can be continuous.
106
TCVR & TCPAR• The typical topology is:
107
TCVR & TCPAR– Valves 1 and 7 (positive cycle), and 2 and 8
(negative cycle) add Vc to Vo.– Valves 3 and 5 (positive cycle), and 4 and 6
(negative cycle) add -Vc to Vo.– Valves 1 and 5 (positive cycle), and 2 and 6
(negative cycle) cancel Vc; similarly for 3-4 and 7-8.
• These devices are typically modeled as ULTC and phase-shifters in dynamic and steady state studies.
108
VSC• Typical six pulse VSC with IGBT/GTO switches:
109
VSC• Switching scheme:
110
VSC• Modeling full commutation:
111
VSC
• Observe the high content of harmonics in the ac voltages and currents.
112
VSC• Pulse-width modulation (PWM) control
techniques may also be used (“popular” in low voltage level applications).
• Beside the control advantages, this technique eliminates certain lower harmonics, although it creates high level harmonics.
• For example, for a 6-pulse VSC:
113
VSCFire valves when carrier and
modulation signals crossCARRIER:
MODULATION:
114
VSC• This results on:
• Changing the modulation ratio, i.e. the magnitude of the modulation signal, results in changes of the ac voltage magnitudes.
• Shifting the modulation signal leads to phase shifts on the ac voltages.
115
STATCOM
116
STATCOM• It is basically a VSC controlling the bus
voltage.• The phase-locked loop (PLL) is needed to
reduce problems with spurious zero voltage crossings associated with the high harmonic content of the signals for this controller, especially with PWM controls.
117
STATCOM• Two types of controls can be implemented:
– Phase control in a multi-pulse VSC: By controlling the phase angle of the voltage, the capacitor can be charged (α < δ ⇒ controller absorbs P) or discharged (α > δ ⇒ controller delivers P), thus controlling the voltage output Vi.
118
STATCOM• PWM control in a 6-pulse VSC: the voltage
output Vi can be controlled through the modulation ratio m independently of its phase angle α, which in turn controls Vdc.
119
STATCOM• The typical steady state control strategy is:
• The current limits are due to the valve current limitations.
120
STATCOM• Assuming balanced,
fundamental frequency operation, the controller can be modeled as:
121
SSSC
122
SSSC• Similar to the STATCOM but connected in
series and synchronized with respect to the line current.
• A phase angle β control charges and discharges of the capacitor, thus controlling the output voltage Vi.
• PWM controls can be decoupled or coupled:
123
SSSC– Decoupled PWM controls:
124
SSSC– Coupled PWM controls (better overall performance):
125
SSSC• Assuming balanced,
fundamental frequency operation, the controller can be modeled as:
126
UPFC
127
UPFC• This controller is basically the STATCOM and
SSSC combined, with independent controls, especially for PWM:– The STATCOM controls the sending-end voltage
Vk and dc voltage Vdc.– The SSSC controls the power on the line Pl and
Ql.• There is a “demo” UPFC controller in Ohio
(AEP-EPRI venture).
128
IPFC• A combination of 2 SSSCs connected independently to 2 lines is referred to
as an Interline Power Flow Controller (IPFC):
• In this case the power on both lines can be controlled independently.
129
CSC• A combination of 2 SSSC and 2 STATCOMS
connected to 2 independent lines is referred to as a Convertible Static Compensator (CSC).
• In this case the control possibilities are many, as it can work as a STATCOM, SSSC, UPFC and IPFC.
• The CSC has been implemented in NY to relief congestion (NYPA-EPRI venture) [E. Uzunovic et al, “NYPA convertible static compensator (CSC) application phase I: STATCOM,” Proc. Trans. & Dist. Conf. and Expo., vol. 2, 2001, pp. 1139-1143]:
130
CSC
131
HVDC Light• Based on VSCs as opposed to the current sourced converters (CSCs) used
in classical HVDC:
• IGBTs (Insulated-gate bipolar transistors have a FET gate and a BJT switch) instead of GTOs are used as switches; have lower losses, higher frequency switching capacity, are cheaper, but have less reverse voltage blocking capacity.
• These switches allow using PWM controls, which yield greater control flexibility.
132
HVDC Light• The reduced reverse voltage blocking capacity of IGBTs
versus GTOs reduces the overall power capacity of the link; this is the reason for the “light” label.
• The overall costs of the link are lower, allowing for wider applications of this technology.
• Classical HVDC is most cost effective at power ranges above ~250 MW, whereas HVDC Light ratings are typically in the order of a few tens of MW (the technology current upper limits are 1,200 MW and ±320 kV).
• Visit http://www.abb.com/industries/us/9AAC30300394.aspxfor more details and actual projects.
133
http://www.abb.com/industries/us/9AAC30300394.aspx
SPVG~100 MWpeak solar farm connected to Bluewater Powerdistribution system
134
SPVG Controls• Original PQ controls:
– P output kept at maximum using an MPPT control of the dc-dc converter VI output:
– Q = 0 (unity power factor) with Q/V control of PWM VSC, so it is not a Q load for the system with negative impact on voltage.
135
SPVG Controls• RE generators were required
to disconnect under faults, which created low voltage and frequency problems with loss of power.
• Now they are required to provide reactive power during fault conditions via Low-Voltage Ride-Through (LVRT)/ or Fault Ride-Through (FTR) control, i.e. converter Q injection.
• More jurisdictions are now requiring full V output control like standard generators.
LVRT/FTR converteroutput characteristics
136
SPVG Controls• Some jurisdictions are
also requiring nowadays some frequency control:– MPPT control is
deactivated to allow some limited P control, thus de-rating the generator.
– Some manufactures are providing controls so that generator provide also virtual inertia, such as the Synchronous Power Controller (SPC):
137
WG• Ripley-Kincardine WG plant: 76 MW with 38x2
MW Enercon Tyep 4/D SGPM generators connected at 230kV.
138
WG• Type 1/A: Fixed speed with pitch control.
Generator
P controls
Pitch
Gear Box
vw
ωm
β
PmTm
139
WG• Type 2/B: Doubly Fed Induction Generator (DFIG) with variable
speed through variable rotor resistance, plus pitch control.
Generator
P controls
Pitch
Gear Box
vw
ωm
β
PmTm
140
WG• Type 3/C: DFIG with rotor converters plus pitch controls.
Generator
DC Link
P and V/Q controls
Pitch
DC link controls
VSC VSC
Gear Box
ωm
β
Pm
VtItPtQt
VdcIdc
VRIR
vw
Tm
141
WG• Type 4/D: Permanent Magnet Synchronous Generator (PMSG) or IG
with ac-dc-ac full converter interface, similar to SPCG.
Generator
DC Link
P controls
Pitch
Q/V controls
VSC VSC
vw
ωm
β
PmVtItPtQt
VdcIdc
VGIG
Tm
142
WG Controls• Depend on technology:
– Type 1/A: Only slow pitch controls to keep torque and/or turbine speed at rated values and/or within limits to avoid turbine problems.
– Type 2/B: Slow pitch control plus some fast P control through variable resistors.
– Type 3/C: Slow pitch control plus fast P and Q/V control through rotor ac-dc-ac converter.
– Type 4/D: Slow pitch control plus fast P and Q/V control through full ac-dc-ac converter interface.
143
WG Controls• Type 3/C and 4/D P control:
– MPPT based on:
– MPPT deactivated for some frequency control, de-rating the WG.
144
SPVG and WG Simplified Models
• Simplified model, based on WECC wind generator phasor (average) model:
• V and f droop controls for this model:
145
Dynamic Grid Studies• Time domains of dynamic studies (IEEE PES PSDPC TF on
“Stability Definitions and Characterization of Dynamic Behavior in Systems With High Penetration Of Power Electronic Interfaced Technologies”):
146
Dynamic Grid Studies• Tools:
– Wave and electromagnetic phenomena: PSCAD/EMTDC, EMTP, ATP, and others.
– Electromechanical phenomena: DSATools, PSS/E, PSAT, DIgSILENT PowerFactory, and many others (e.g. ETAP).
– Thermodynamic phenomena: partially DSATools, PSS/E, and others.
147
Dynamic Grid Studies• Techniques:
– Steady and quasi-steady state:• Power flows.• PV curves.• Eigenvalues and eigenvectors.
– Transients:• Detailed time-domain simulations for unbalanced and
converter systems.• Transient stability simulations of phasor-based,
balanced system models.
148
Dynamic Grid Studies• Grid stability studies (IEEE/CIGRE Joint Task Force on Stability Terms and
Definitions, “Definition and Classification of Power System Stability”, IEEE Trans. Power Systems and CIGRE Technical Brochure 231, 2003):
• These definitions and classification are being updated in the context of faster dynamics (e.g. converter-based systems).
149
Dynamic Grid Study Example• For the IEEE 145-bus, 50-machine test system:
150
Dynamic Grid Study Example– For an impedance load model, the PV curves yield:
151
Dynamic Grid Study Example– Hence, a line 90-92 outage yields:
152
Dynamic Grid Study Example– This has been typically solved by adding Power
System Stabilizers (PSS) to the voltage controllers in “certain” generators, so that the equilibrium point is made stable, i.e. the Hopf is removed (FACTS may also be used to address this problem):
153
AVR
Vref
Vt
+
+_
Dynamic Grid Study Example– A participation factor analysis in this case yields:
154
Dynamic Grid Study Example– The line 90-92 outage with PSS at generators 93 and
104 yields:
155
Dynamic Grid Study Example• More details regarding this example can
be found in: N. Mithulananthan, C. A. Cañizares, J. Reeve, and G. J. Rogers, “Comparison of PSS, SVC and STATCOM Controllers for Damping Power System Oscillations,” IEEE Transactions on Power Systems, Vol. 18, No. 2, May 2003, pp. 786-792.
156
Dynamic Modelling and Simulation of Power SystemsThe University of WaterlooWaterloo Quick FactsWaterloo Quick FactsWaterloo Quick FactsOverviewPower SystemPower SystemPower SystemPower SystemPower SystemPower SystemSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesSupply TechnologiesGeneratorGeneratorGeneratorSynchronous MachineSynchronous MachineSynchronous MachineSynchronous MachineSynchronous MachineSynchronous MachineSynchronous MachineSimplified Models Simplified ModelsSubtransient ModelSubtransient ModelSubtransient ModelSubtransient ModelSubtransient ModelTransient ModelTransient ModelTransient ModelTransient ModelTransient ModelTransient ModelTransient ModelTransient ModelControlsControlsControlsControlsSteady State ModelSteady State ModelSteady State ModelSingle-phase TransformersSingle-phase TransformersSingle-phase TransformersSingle-phase TransformersSingle-phase TransformersLoad Tap Changers (LTCs)Phase ShiftersPhase ShiftersThree-phase TransformersThree-phase TransformersThree-phase TransformersThree-phase TransformersSaturationTransmission Lines �(and Cables)Transmission LinesTransmission LinesTransmission LinesTransmission LinesTransmission LinesTransmission LinesLoadsInduction MotorInduction MotorInduction MotorInduction MotorInduction MotorInduction MotorInduction MotorImpedance Load ModelsPower Load ModelsPower Load ModelsPower Load ModelsPower Load ModelsPower Load ModelsPower Load ModelsFACTSTCR-FCTCR-FCTCR-FCTCR-FCTCR-FCSVCSVCSVCTCSCTCSCTCSCTCSCTCSCTCVR & TCPARTCVR & TCPARTCVR & TCPARVSCVSCVSCVSCVSCVSCVSCSTATCOMSTATCOMSTATCOMSTATCOMSTATCOMSTATCOMSSSCSSSCSSSCSSSCSSSCUPFCUPFCIPFCCSCCSCHVDC LightHVDC LightSPVGSPVG ControlsSPVG ControlsSPVG ControlsWGWGWGWGWGWG ControlsWG ControlsSPVG and WG Simplified ModelsDynamic Grid StudiesDynamic Grid StudiesDynamic Grid StudiesDynamic Grid StudiesDynamic Grid Study ExampleDynamic Grid Study ExampleDynamic Grid Study ExampleDynamic Grid Study ExampleDynamic Grid Study ExampleDynamic Grid Study ExampleDynamic Grid Study Example