Upload
matilda-snow
View
219
Download
1
Tags:
Embed Size (px)
Citation preview
1
Scheduling the TVA Hydro System Using RiverWare’s Optimization
Suzanne H. Biddle, P.E.
Tennessee Valley Authority
2
HL
KNOXVILLE
NASHVILLE
CHATTANOOGA
TN
KY
NC
SC
GA
AL
MS
VA
Watershed
Power Service Area
TVA region covers 40,000 sq miles
3
0
1
2
3
4
5
6
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
INC
HE
S
Rainfall Runoff
Average annual rainfall above Chattanooga is about 51 inches and runoff is about 22 inches
4
TVA operates the reservoir system to meet multipurpose objectives
• Navigation
• Flood damage reduction
• Power generation
• Recreation
• Water quality
• Water supply
5
Inputs
Future value of water
Hourly hydropower value
Inflow forecast
Initial conditions
Objectives
hourly generation preschedule
(current day + 2 forecast days)
9 day optimization using marginal costs for water
allocation
daily hydro
forecast
(14 days)
9 day optimization using block costs for daily generation schedule
3 day optimization using block costs for hourly generation schedule
River Scheduling issues two hydro forecasts each day
6Current Day
Observed Values
3 - 14 Days
Future Value of Water
14 - 120 Days
RiverWare 6-Hourly Forecast
14 Days
RiverWare Hourly
Preschedule
2 Days
Optimization covers short term, but also considers long term tradeoff
7
ELE
VA
TIO
N (F
EE
T)
DECNOVOCTSEPAUGJULJUNMAYAPRMARFEBJAN
TOP OF GATES
RESERVED FOR FLOOD CONTROL
DESIRABLE JUNE 1 ELEVATION
TARGETED MINIMUM SUMMER LEVEL
FLOOD CONTROL
FILL PERIOD
RECREATION SEASON
DRAWDOWN PERIOD
MINIMUM OPERATIONS GUIDE
Many reservoirs follow seasonal guide curves
8
These objectives are used in optimizing the hydro system
• Day 1 outflows are fixed• Ending targets are fixed for non-storage
tributaries and main river• Minimum flow requirements• Top and bottom of daily operating zone –
non-storage tribs and main river only• Minimum operations guides• Flood guides• Minimize spill• Special operations• Economic objective function
9
What does “economic objective function” mean?
• All operating constraints must first be satisfied
• Then, with any remaining flexibility:• Maximize avoided operating cost +
delta (value of water in storage)
10
Is water worth more this week or in future weeks?
Hourly Marginal Cost Forecast August 27, 2002
$0
$10
$20
$30
$40
$50
$60
$70
$80
Ma
rgin
al C
os
t ($
/MW
h)
Week 1 Week 6Week 5Week 4Week 3Week 2
11
Block Cost Data from OPSYMAugust 27, 2002
MW
$200 & up
$100-$200
$90-$100
$80-$90
$70-$80
$60-$70
$50-$60
$40-$50
$30-$40
$25-$30
$20-$25
$15-$20
$11-$15
Less than $11
5000
0
500
1000
1500
2000
2500
3000
3500
4000
4500
Tue TueMonSunSatFriThurWed
After water is allocated, block cost data is used to determine which hours to run
12
The reservoir system is modeled as a whole for hydropower optimization