DocumentCode :
3382104
Title :
A stochastic Cournot bidding model for wind power producers
Author :
Haifeng Zhang ; Feng Gao ; Jiang Wu ; Kun Liu ; Qiaozhu Zhai
Author_Institution :
Syst. Eng. Inst., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2011
fDate :
15-16 Aug. 2011
Firstpage :
319
Lastpage :
324
Abstract :
In this paper, Cournot model is employed to study the bidding strategies for wind power producers in pool-based electricity market. A bidding strategy based on Cournot model, which takes into account the stochastic behavior of wind power and the imbalance cost, is proposed. In the Cournot game, individual player´s bidding problem is formulated as a expected profit maximization model. One kind of iterative algorithm is used to obtain Nash equilibrium strategies for producers. Impact of stochastic behavior of wind power on equilibrium outputs and price is also discussed. Numerical results show that the optimal strategy is highly relevant to the imbalance prices, and also to the forecasting errors. The imbalance penalty tends to drive the bids closer to the expected generation for the next period or day.
Keywords :
iterative methods; power generation economics; power markets; stochastic games; wind power plants; Cournot game; Nash equilibrium strategy; expected profit maximization model; forecasting errors; individual player bidding problem; iterative algorithm; pool-based electricity market; stochastic Cournot bidding model; wind power producers; Electricity supply industry; Forecasting; Games; Iterative methods; Production; Wind forecasting; Wind power generation; Nash equilibrium; bidding strategy; cournot model; electricity market; imbalance cost;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics (ICAL), 2011 IEEE International Conference on
Conference_Location :
Chongqing
ISSN :
2161-8151
Print_ISBN :
978-1-4577-0301-0
Electronic_ISBN :
2161-8151
Type :
conf
DOI :
10.1109/ICAL.2011.6024735
Filename :
6024735
Link To Document :
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