Big Wind Study
Technical Committee MeetingJanuary 27, 2012
Outline
1.Impacts of INC and DEC wind reserves on hydro generating capability
2.Impacts of increasing wind capacity on hydro and thermal dispatch
3.Impacts of increasing wind capacity on the existing over generation problem
4.Assessing the load carrying capability for wind
January 27, 2012
Effects of INC and DEC Reserves on Hydroelectric Capability
INC Reserve – Covers peak load when wind doesn’t blow
DEC Reserve – Backs off generation during light load hours when wind does blow
January 27, 2012
Effects of INC and DEC Reserveson Hydroelectric Capability
0 2 4 6 8 10 12 148000
16000
24000
32000Origw/DECw/INC + DEC
Hour of Day
Meg
awatt
s
DEC and INC both tend to flat-
tenhydro generating
capability
January 27, 2012
DEC Reduces Hydro Peaking Capability(for 6K of installed wind)
Period 2-Hr 4-Hr 6-Hr 8-Hr 10-Hr 12-HrSep -33 -444 -699 -778 -742 -612Oct -364 -976 -1115 -1065 -865 -636Nov -2 -108 -354 -351 -356 -322Dec -19 -149 -404 -387 -365 -325Jan -64 -186 -406 -407 -393 -341Feb -192 -274 -512 -509 -472 -416Mar -54 -142 -479 -501 -465 -424
Apr 1 -855 -1083 -1057 -928 -778 -597Apr 2 -319 -349 -380 -357 -319 -304May 0 0 -8 -57 -84 -92Jun -114 -233 -373 -432 -434 -377Jul 0 -41 -169 -255 -321 -318
Aug 1 0 0 -36 -149 -295 -316Aug 2 -227 -652 -951 -942 -820 -669
January 27, 2012
For Illustration Only
DEC Increases Minimum Hydro Generation
January 27, 2012
1 27 53 79 1051311571832092352612873133393653914174434694955215475735996256516777037290
5000
10000
15000
20000
25000Simulated dispatch for a very wet year
Hydro Thermal Wind
Hour of the Month
Meg
awatt
s
For Illustration Only
Hit minimum hydro generation often
Effects on Resource Dispatch
January 27, 2012
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70
0
5000
10000
15000
20000
25000Simulated Dispatch – No Wind
Demand Therm - No Wind Hydro - No Wind
Hours in the Month
Meg
awatt
s
January 27, 2012
For Illustration Only
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70
0
5000
10000
15000
20000
25000Simulated Dispatch – 3K Wind
Demand Therm - 3K Wind Hydro - 3K Wind Wind - 3K
Hours in the Month
Meg
awatt
s
Thermal absorbs the “energy” component while hydro ab-sorbs the hourly variation
January 27, 2012
For Illustration Only
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70
0
5000
10000
15000
20000
25000Simulated Dispatch – 6K Wind
Demand Therm - 6K Wind Hydro - 6K Wind Wind - 6K
Hours in the Month
Meg
awatt
s
Thermal is OFF
Hydro hits min
January 27, 2012
For Illustration Only
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70
6000
8000
10000
12000
14000
16000
18000Simulated Dispatch – Hydro Only
Hydro - No Wind Hydro - 3K Wind Hydro - 6K Wind
Hours in the Month
Meg
awatt
sMore hourly variation in hydro generation
January 27, 2012
For Illustration Only
Adequacy Tech Meeting
Future work
• Identify resources whose dispatch is most affected by increasing wind capacity
• Quantify how natural gas use decreases with increasing amounts of wind
• Investigate how thermal ramp-ups and ramp-downs change with increasing wind
• Should we investigate carrying some INC and DEC requirements with thermal resources?
• Anything else?January 27, 2012
Oversupply Problem*
January 27, 2012
Oversupply conditions occur when the minimum system generation exceeds firm load and secondary sales markets.
*Still working with BPA staff to review results.
0 1 2 3 4 5 6 7 8 90
500
1000
1500
2000
2500
3000
Jul
JunMay
Apr
MarFeb
Oversupply in Average Megawatts(averaged over all hours of the month)
Installed Wind (GW)
Ove
rsup
ply
(MW
-Mo)
Problem occurs even with no wind
For Illustration Only
No sales market assumed in this case
January 27, 2012
For Illustration Only
January 27, 2012
Intertie size
Assessing the Effective Load Carrying Capability of Wind (ELCC)
January 27, 2012
What is ELCC?• “Effective load carrying capability” is defined as
the amount of incremental load a resource can serve without degrading adequacy.
• It is usually expressed as a percentage of a resource’s capacity.
• Example: a standalone CT with 5% FOR and infinite fuel supply has an ELCC of 95%
• ELCC is a function of the system the new resource is added to – this is particularly important for wind.
January 27, 2012
Study Methodology
• Base case– Remove all wind– Calculate total annual average curtailment
• Study cases– Add 200 MWa of annual shaped load– Add increments of wind capacity until the total
annual average curtailment equals that in the base– Repeat above with greater amounts of load
January 27, 2012
ELCC Results (+200 MWa load)
15% 20% 25% 30% 35% 40% 45%1200000
1250000
1300000
1350000
1400000
Average Load/Wind Capacity (%)
Tota
l Avg
Cur
tailm
ent (
MW
-hrs
)
Base Case
200 MWa Load, 500 MW Wind
200 MWa Load, 1000 MW Wind
ELCC = 26.4%
January 27, 2012For Illustration Only
Annual Wind ELCC Results
0 1000 2000 3000 4000 5000 6000 7000 8000 90000%
5%
10%
15%
20%
25%
30%
AverageIncremental
Installed Wind Capacity (MW)
Win
d EL
CC (%
)
January 27, 2012
For Illustration Only
Observations• ELCC declines with increasing amounts of wind
because system flexibility is used up• Eventually wind ELCC will flatten out• Average annual wind generation is ~ 30%, yet
currently aggregate ELCC is ~ 23%Thus, can’t plan on average wind generation
• Adding storage will increase ELCC• Adding more diverse wind generation will also
increase aggregate ELCC
January 27, 2012