I , AVANCERAD NIVÅ EXAMENSARBETE ELEKTROTEKNIK 300 HP
STOCKHOLM SVERIGE 2016 ,
An Economical & Technical Study of the Participation of a Virtual Power Plant on the Swiss Balancing Market
WRITTEN IN COLLABORATION WITH SWISSELECTRICITY
ROMAIN BOURDETTE
KTH KUNGLIGA TEKNISKA HÖGSKOLAN
SKOLAN FÖR ELEKTRO- OCH SYSTEMTEKNIK
TRITA EE 2016:018
www.kth.se
BACKGROUND STUDY
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𝑃
𝑛𝑅+𝑃
𝑛𝑅−𝐼
𝑛,𝑖𝑠𝑒𝑐,𝑏𝑖𝑑𝐼
𝑛,𝑖𝑠𝑒𝑐,𝐸𝐼
𝑛,𝑖𝑡𝑒𝑟+,𝑏𝑖𝑑𝐼
𝑢𝑛𝑖𝑡 𝑛𝑡𝑒𝑟+,𝐸∝
𝑖+∝
𝑖−𝜆
𝑖𝑠𝑒𝑐+¤/MWh
𝜆
𝑖𝑠𝑒𝑐−¤/MWh
𝜆
𝑘,𝑏𝑖𝑑𝑡𝑒𝑟+,𝐸¤
𝜆
𝑘,𝑏𝑖𝑑𝑡𝑒𝑟−,𝐸¤
𝑈
𝑛𝜀
𝑛𝑐𝑜𝑛𝑡𝑟𝑜𝑙𝜇
𝐸
𝑛,𝑡𝑒𝑟+𝐸
𝑛,𝑡𝑒𝑟+-
-
𝐼
𝑡𝑜𝑡𝑎𝑙𝑠𝑒𝑐,𝑏𝑖𝑑= ∑ ∑ 𝐼
𝑛,𝑖𝑠𝑒𝑐,𝑏𝑖𝑑𝑖=𝑝𝑜𝑤𝑒𝑟 𝑜𝑓𝑓𝑒𝑟 𝑝𝑒𝑟𝑖𝑜𝑑 𝑛=𝑢𝑛𝑖𝑡𝑠 𝑖𝑛
𝑝𝑜𝑟𝑡𝑓𝑜𝑙𝑖𝑜
𝐼
𝑛,𝑖𝑠𝑒𝑐,𝑏𝑖𝑑= { max (𝜆
𝑠𝑒𝑐,𝑏𝑖𝑑× 𝑃
𝑛𝑜𝑓𝑓𝑒𝑟𝑒𝑑(𝜆
𝑠𝑒𝑐,𝑏𝑖𝑑)) | 𝜆
𝑠𝑒𝑐,𝑏𝑖𝑑< 𝜆
𝑐𝑙𝑒𝑎𝑟𝑖𝑛𝑔 𝑠𝑒𝑐}
𝐼
𝑠𝑒𝑐,𝑏𝑖𝑑𝜆
𝑏𝑖𝑑𝐼
𝑛,𝑡𝑜𝑡𝑎𝑙𝑡𝑒𝑟+,𝑏𝑖𝑑= ∑ 𝐼
𝑛,𝑖𝑡𝑒𝑟+,𝑏𝑖𝑑𝑖=𝑜𝑓𝑓𝑒𝑟 𝑝𝑒𝑟𝑖𝑜𝑑
𝐼
𝑡𝑜𝑡𝑎𝑙𝑠𝑒𝑐𝐸= ∑ ∑ 𝐼
𝑛,𝑖𝑠𝑒𝑐.𝐸𝑖=𝑝𝑜𝑤𝑒𝑟
𝑜𝑓𝑓𝑒𝑟𝑠 𝑝𝑟𝑒𝑞𝑢𝑎𝑙. 𝑖𝑛
𝑝𝑒𝑟 𝑦𝑒𝑎𝑟
𝑛=𝑢𝑛𝑖𝑡𝑠 𝑖𝑛𝑝𝑜𝑟𝑡𝑓𝑜𝑙𝑖𝑜
𝐼
𝑛,𝑖𝑠𝑒𝑐,𝐸= (1 − 𝜇 ∗ (𝑈
𝑛+ 𝜀
𝑛𝑐𝑜𝑛𝑡𝑟𝑜𝑙))(𝑃
𝑛𝑅+∗∝
+𝑖∗ 𝜆
𝑖𝑠𝑒𝑐++ 𝑃
𝑛𝑅−∗∝
𝑖−∗ 𝜆
𝑖𝑠𝑒𝑐−)
∝
𝑖+∝
𝑖−𝜆
𝑠𝑒𝑐,𝑖+𝜆
𝑠𝑒𝑐,𝑖−𝑈 𝑛
𝜀 𝑛 𝑐𝑜𝑛𝑡𝑟𝑜𝑙
𝐼
𝑡𝑜𝑡𝑎𝑙𝑡𝑒𝑟= ∑ ∑ 𝐼
𝑛,𝑘𝑡𝑒𝑟+,𝐸𝑘=𝑒𝑛𝑒𝑟𝑔𝑦 𝑜𝑓𝑓𝑒𝑟𝑠 𝑝𝑟𝑒𝑞𝑢𝑎𝑙𝑖𝑓𝑖𝑒𝑑 𝑖𝑛
𝑝𝑒𝑟 𝑦𝑒𝑎𝑟 𝑢=𝑢𝑛𝑖𝑡𝑠 𝑖𝑛
𝑝𝑜𝑟𝑡𝑓𝑜𝑙𝑖𝑜
𝐼
𝑛,𝑘𝑡𝑒𝑟+,𝐸= ∑(𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦+(𝜆
𝑡𝑒𝑟+,𝐸𝑘,𝑏𝑖𝑑)
𝑏𝑖𝑑
∗ 𝜆
𝑘,𝑏𝑖𝑑𝑡𝑒𝑟+,𝐸) ∗ 𝑃 𝑛 𝑅+ ∗ 𝑇 ∗ (1 − 𝜇 ∗ (𝑈
𝑛+ 𝜀
𝑛𝑐𝑜𝑛𝑡𝑟𝑜𝑙))
𝜆
𝑡𝑒𝑟+,𝐸𝑘,𝑏𝑖𝑑𝜇
𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦𝑝𝑎𝑟𝑡𝑖𝑎𝑙(𝜆
𝑡𝑒𝑟+,𝐸𝑘,𝑏𝑖𝑑) 𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦+(𝜆
𝑡𝑒𝑟+,𝐸𝑘,𝑏𝑖𝑑)
𝐶
𝑢𝑛𝑖𝑡 𝑛(𝐸
𝑡𝑒𝑟+, 𝐸
𝑡𝑒𝑟−, 𝐸
𝑠𝑒𝑐+, 𝐸
𝑠𝑒𝑐−) = 𝑀𝐶(𝐸
𝑡𝑒𝑟+, 𝐸
𝑡𝑒𝑟−, 𝐸
𝑠𝑒𝑐+, 𝐸
𝑠𝑒𝑐−) + 𝐹𝐶
𝐸
𝑛,𝑠𝑒𝑐+𝐸
𝑛,𝑠𝑒𝑐−𝐸
𝑛,𝑡𝑒𝑟+𝐸
𝑛,𝑡𝑒𝑟−𝐸
𝑛,𝑡𝑒𝑟+= ∑ ∑ 𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦𝑝𝑎𝑟𝑡𝑖𝑎𝑙(𝜆
𝑡𝑒𝑟 +𝑘,𝑏𝑖𝑑)
𝑏𝑖𝑑=𝑏𝑖𝑑 𝑚𝑢𝑙𝑡𝑖−𝑙𝑒𝑣𝑒𝑙 𝑏𝑖𝑑𝑠
∗ 𝑇
𝑘=𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒 𝑡𝑒𝑟𝑡𝑖𝑎𝑟𝑦 𝑒𝑛𝑒𝑟𝑔𝑦
𝑜𝑓𝑓𝑒𝑟𝑠 𝑝𝑟𝑒𝑞𝑢𝑎𝑙𝑖𝑓𝑖𝑒𝑑 𝑖𝑛
𝑝𝑒𝑟 𝑦𝑒𝑎𝑟
∗ 𝑃
𝑛+𝐸
𝑛,𝑡𝑒𝑟−= ∑ ∑ 𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦𝑝𝑎𝑟𝑡𝑖𝑎𝑙(𝜆
𝑘,𝑏𝑖𝑑𝑡𝑒𝑟−)
𝑏𝑖𝑑
∗ 𝑇 ∗ 𝑃
𝑛− 𝑘𝐸
±= 𝐸
𝑡𝑒𝑟++ 𝐸
𝑠𝑒𝑐++ 𝐸
𝑠𝑒𝑐−+ 𝐸
𝑡𝑒𝑟−𝐸
𝑡𝑒𝑟+, 𝐸
𝑠𝑒𝑐+> 0 𝐸
𝑠𝑒𝑐−, 𝐸
𝑡𝑒𝑟−< 0
𝐸
𝑡𝑒𝑟+= +1 𝑀𝑊ℎ.
𝐸
𝑡𝑒𝑟−= − 1 𝑀𝑊ℎ.
𝐹𝐶 = 𝐶
𝑖𝑛𝑣𝑒𝑠𝑡𝑚𝑒𝑛𝑡+ ∆𝐶
𝑚𝑎𝑖𝑛𝑡𝑎𝑛𝑐𝑒𝑀𝐶(𝐸
𝑡𝑒𝑟+, 𝐸
𝑡𝑒𝑟−, 𝐸
𝑠𝑒𝑐+, 𝐸
𝑠𝑒𝑐−)
= ∆𝑃
𝑒𝑙𝑒𝑐,𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟(𝐸
±) − ∆𝑆
𝑒𝑙𝑒𝑐,𝑝𝑢𝑟𝑐ℎ𝑎𝑠𝑒𝑟(𝐸
±) + ∆𝐶
𝑓𝑢𝑒𝑙(𝐸
±)) + 𝐶
𝑠𝑡𝑎𝑟𝑡−𝑢𝑝(𝐸
𝑡𝑒𝑟+)
∆𝑃
𝑒𝑙𝑒𝑐,𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟= 𝜃
𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟× (−𝐸
𝑎𝑐𝑡𝑢𝑎𝑙+ 𝐸
𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒)
= 𝜃
𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟× (−𝐸
±)
𝜃
𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟∆𝑃
𝑒𝑙𝑒𝑐,𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟𝐸
±< 0)
𝐸
±> 0 ∆𝑃
𝑒𝑙𝑒𝑐,𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟< 0
∆𝑆
𝑒𝑙𝑒𝑐,𝑝𝑢𝑟𝑐ℎ𝑎𝑠𝑒𝑟(𝐸
±)
= 𝜃
𝑝𝑢𝑟𝑐ℎ𝑎𝑠𝑒𝑟× (𝐸
𝑎𝑐𝑡𝑢𝑎𝑙− 𝐸
𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒)
= 𝜃
𝑝𝑢𝑟𝑐ℎ𝑎𝑠𝑒𝑟× (𝐸
±)
𝜃
𝑝𝑢𝑟𝑐ℎ𝑎𝑠𝑒𝑟∆𝑆
𝑒𝑙𝑒𝑐,𝑝𝑢𝑟𝑐ℎ𝑎𝑠𝑒𝑟𝐸
±< 0)
−∆𝑆
𝑒𝑙𝑒𝑐,𝑝𝑢𝑟𝑐ℎ𝑎𝑠𝑒𝑟> 0
∆𝐶
𝑓𝑢𝑒𝑙(𝐸
±) = 𝜃
𝑓𝑢𝑒𝑙× 𝐸
±𝜃
𝑓𝑢𝑒𝑙𝐶
𝑠𝑡𝑎𝑟𝑡−𝑢𝑝(𝐸
𝑡𝑒𝑟+) = 𝑎𝑏𝑠 ( 𝐸
𝑡𝑒𝑟+𝑃
+× 1
1.5 ) × 𝑐
𝑠𝑡𝑎𝑟𝑡−𝑢𝑝= 𝑎𝑏𝑠 ( 𝑡𝑜𝑡𝑎𝑙 𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛 𝑜𝑓 𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦
1.5 )
× 𝑐
𝑠𝑡𝑎𝑟𝑡−𝑢𝑝≈ 𝑛𝑏 𝑜𝑓 𝑠𝑡𝑎𝑟𝑡𝑢𝑝 × 𝑐
𝑠𝑡𝑎𝑟𝑡−𝑢𝑝𝐸
𝑡𝑒𝑟+𝑐
𝑠𝑡𝑎𝑟𝑡−𝑢𝑝𝑀𝐶
𝐺1= ∆𝐶
𝑓𝑢𝑒𝑙+ ∆𝑃
𝑒𝑙𝑒𝑐,𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟+ 𝐶
𝑠𝑡𝑎𝑟𝑡−𝑢𝑝(𝐸
𝑡𝑒𝑟+)
∆𝑃
𝑒𝑙𝑒𝑐,𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟𝑀𝐶
𝐺2= ∆𝐶
𝑓𝑢𝑒𝑙− ∆𝑆
𝑒𝑙𝑒𝑐,𝑝𝑢𝑟𝑐ℎ𝑎𝑠𝑒𝑟𝑀𝐶
𝐿1= 0
∆𝑃
𝑒𝑙𝑒𝑐,𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟= 0
𝑀𝐶
𝐿2= ∆𝑃
𝑒𝑙𝑒𝑐,𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟-
-
-
-
μ = 10
Portfolio: List of participating units
Simulation Market Data
Forecast method
Bidding processes
Bid acceptance processes
𝐼
𝑛,𝑡𝑜𝑡𝑎𝑙𝑡𝑒𝑟+,𝑏𝑖𝑑= ∑ 𝐼
𝑛,𝑖𝑡𝑒𝑟+,𝑏𝑖𝑑𝑖=𝑜𝑓𝑓𝑒𝑟 𝑝𝑒𝑟𝑖𝑜𝑑
= ∑ (𝑖𝑛𝑐𝑜𝑚𝑒
𝑤𝑒𝑒𝑘𝑙𝑦 𝑏𝑖𝑑𝑠+ ∑ 𝑖𝑛𝑐𝑜𝑚𝑒
𝑑𝑎𝑖𝑙𝑦 𝑏𝑖𝑑𝑠 𝑏𝑙𝑜𝑐𝑘𝑠)
𝑤𝑒𝑒𝑘𝑠
Delivery calls models
∝
𝑖+∝
𝑖−𝜆
𝑖𝑠𝑒𝑐+𝜆
𝑖𝑠𝑒𝑐−∝
𝑖+∝
𝑖−𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦𝜆
𝐸𝑛𝑒𝑟𝑔𝑦𝜆
𝐸𝑛𝑒𝑟𝑔𝑦(𝑓) = 𝐴 ∗ 𝑒
−𝑓∗𝑋⇔ 𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦(𝜆
𝐸𝑛𝑒𝑟𝑔𝑦) = − 1
𝑋 ∗ ln ( 𝜆 𝐴 )
≈ 40 €/𝑀𝑊ℎ ≈ 40 €/𝑀𝑊ℎ
Market revenue from the delivery of control energy
-
-
-
-
-
𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦𝜆
𝐸𝑛𝑒𝑟𝑔𝑦𝑓
𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦(𝜆
𝐸𝑛𝑒𝑟𝑔𝑦) = − 1 𝑋 ∗ ln ( 𝜆
𝐴 )
-
-
-
-
-
-
-
≤ =
≤ ≤
> >
-
-
-
-
.
XX X
XX XX
XX XX X
X X XX X
X X XX X
X XX XXX XX
X X XX XX
XX X X
X
X
XX XX XX
Bidding Strategy
XX
XXX X
XXX X
XX X
X XX
XXX XX
XX X X
XX XX
X XX
XX X
X
X XX
X X X X X X
X
X X
X X XX X
Bidding Strategy
X X X X
XX
XX X
XX X
Bidding Strategy
-
-
𝑥
𝑡= 𝑐 + ∑ 𝜙
𝑖𝑥
𝑡−𝑖 𝑝𝑖=1
𝜙
𝑖𝑥
𝑡= 𝑐 + ∑ 𝜙
𝑠.𝑖𝑥
𝑡−𝑠.𝑖 𝑝𝑖=1