Optimal Operation of Kerala GRID Under Deregulation 5th Presentation

7/21/2019 Optimal Operation of Kerala GRID Under Deregulation 5th Presentation

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OPTIMAL OPERATION OF KERALA GRID

UNDER DEREGULATION

Internal GUIDE

JOSE THOMASDr.S.ASHOK

PROFESSOR ,NIT CALICUT

M090421EE

External GUIDE

Smt.Kavitha .C.K

Asst.Exe.engineer

S stem O erations KSEB


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INTRODUCTION

Problem definition

To develop software to aid optimal

operational decision making of Keralagrid based on a graphical software aided

model of grid considering all power

transactions aspects


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WORK COMPLETED

Analysed present operational decision making techniques in Load

dispatch center Analysed the previous years load data of the state

Kerala power system model up to 11 kV level buses(consisting of atotal of 1995 buses) formed using ETAP 6.0

Formed cost models for all generators including the IPPs and CentralGenerations.

Hydel generation modeled considering reservoir status andexpected inflow.

Optimal power flow analysis conducted for peak and off peak timeslots based on forecasted load.

Work done during the Term

The optimal settings and results are analyzed and compared withwith load flow results for different time slots

A mat lab program developed for real time updating of databaseduring each time slots , for the updating of dynamic modelparameters and to work as a front end to the user.


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ANALYSIS OF OPF RESULTS

Active

power

demand

Reactive

power

demand

Active power

loss

Reactive

power loss

Total cost

function

value

Lowest end

voltage

recorded

Hydel/

thermal/cent

ral share

Unscheduled

interchange(

between state

grids)

Actual load flow 2366 972.068 134.393 678.845 10749862

Rs/hr

79% 41%,

15%,

39%

5%

OPF with real power

loss minimization

objective

2166.56 987.23 112.234 926.12 10855987

Rs/hr

75% 55%

10%

35%

-6%

OPF with cost

minimization

objective

2115.78

1060.89

242.11

1273.85

8998350

Rs/hr

66%

45%

11%

39%

0

OPF with dual

objectives of cost

minimization and

minimization ofreactive power loss

2203.34 978.22 149.67 931.342 10114941

Rs/hr

72.67% 42%

15%

39%

0

Case 1 :An off peak slot during mid summer(slot no 56 on 12-3-2011)


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Active

power

demand

Reactive

power

demand

Active power

loss

Reactive

power loss

Total cost

function

value

Lowest end

voltage

recorded

Hydel/

thermal/cent

ral share

Unscheduled

interchange(

between state

grids)

Actual load flow 3133.98 1072.068 134.393 678.845 7657052

Rs/hr

75% 48%,

21%,

31%

0

OPF with real

power loss

minimization

objective

3026.34 1047.23 112.234 926.4346 7655780

Rs/hr

71% 50%

22%

31%

0

OPF with costminimization

objective

2945.937

1260.78

242.654

1273.4235

5433525Rs/hr

62%

55%

13%

32%

0

OPF with dual

objectives of cost

minimization and

minimization of

reactive powerloss

2993.34 1078.3uu 149.67 931.32 6904851

Rs/hr

70.67% 49%

19%

32%

0

Case 2 :A peak slot during mid summer(slot no 76 on 12-3-2010)



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Active

power

demand

Reactive

power

demand

Active power

loss

Reactive

power loss

Total cost

function

value

Lowest end

voltage

recorded

Hydel/

thermal/cent

ral share

Unscheduled

interchange(

between state

grids)

Actual load flow 1980.8

9

772.065

8

111.393 582.845 871200

Rs/hr

73.96 80 ,

0 ,

30

-10

OPF with real power

loss minimization

objective

1960.76

5

754.23 98.12 810.12 2704800

Rs/hr

76.7% 60%

10%

32%

-3%

OPF with cost

minimization

objective

1898.88

7

743.89

195.24

1042.85

816785

Rs/hr

70.1%

76%

0%

24%

-6%

OPF with dual

objectives of cost

minimization and


1956.34 778.22 129.67 831.342 1914231

Rs/hr

77.67% 74

6

26

-6

Case 3 :An off peak slot during monsoon(slot no 60 on 17-8-2010)


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Active

power

demand

Reactive

power

demand

Active power

loss

Reactive

power loss

Total cost

function

value

Lowest end

voltage

recorded

Hydel/

thermal/cent

ral share

Unscheduled

interchange(

between state

grids)

Actual load flow 2988.32 1324.234 134.393 698.845 1413324

Rs/hr

76% 81%,

0%,

24%

-5%

OPF with real power

loss minimization

objective

2878.56 1311.23 110.234 926.12 4976062

Rs/hr

75% 63%

14%

26%

-2%

OPF with cost

minimization

objective

2884.78

1276.89

198.11

1073.85

1364132

Rs/hr

70.7%

81%

0%

24%

-5

OPF with dual

objectives of cost

minimization and


2906.34 1284.22 149.67 931.342 1423940

Rs/hr

72.67% 80%

0%

25%

-5%

Case 4 :peak slot during mid monsoon(based on load data on slot 70 on 17-8-2010)


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MATLAB PROGRAM FLOW CHART

Read the date and slot from user

Start

Initiate database tool box and Connect to the ETAP

database

Read reservoir levels for the day from the excel file

reservoir data and calculate expected inflow

Read the excel file containing forecasted load data and store theload information for the particular slot update the column for

particular slot in ETAP database


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Read the details of machines unavailable during the slot and substitute

zero the in service column of corresponding database

If peak

slot

Calculate the constant k for the

type 1 &2 generator models from

reservoir data and peak

Read the status of running of the thermal machines for the previous

slot and update the model

Run developed ETAP model keralagrid.oti and run optimal power flow

Output the optimal settings file

Stop

MATLAB PROGRAM FLOW CHART


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WORK TO BE DONE

Model to be fine tuned to enforce all voltage

constraints

Graphical front end development

Unscheduled interchange model to be

included with forecasted frequency


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REFERENCES

1] scheduling and simulation models for deregulated energymarket,ArneHaugtad,SINTEFF Energy research Norway

2]Systematical Determination of Load Flow Cases

for Power System Planning, G. Rechberger, H. Renner, A. Gaun2009 EEE Bucharest Power Tech Conference

3]Scheduling of hydroelectric generations using artificial neuralnetworks, R.-H. Liang, M.Sc.Y.-Y. HSU, Ph.D.

4] A MARKET DESIGN FOR DEVELOPING COUNTRIES B.BHUSHAN ,Central Electricity Regulatory Commission India ,atwww.srldc.org

5] significance of Unscheduled Interchange Mechanism in the IndianElectricity Supply Industry

S.K. Soonee, S.R. Narasimhan and V. Pandey at www. srldc.org

6]Optimal Generation Scheduling under ABT using Forecasted Load andFrequencySurekha R Deshmukh, D J Doke, and Y P Nerkar

IEEE conference on power systems Nov 2008


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THANK YOU

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Optimal Operation of Kerala GRID Under Deregulation 5th Presentation