Title :
Improving offering strategies for wind farms enhanced with storage capability
Author :
Ding, Huajie ; Hu, Zechun ; Song, Yonghua ; Pinson, Pierre
Author_Institution :
Department of Electrical Engineering, Tsinghua University, Beijing, China
fDate :
June 29 2015-July 2 2015
Abstract :
Due to the flexible charging and discharging capability, energy storage system (ESS) is thought of as a promising complement to wind farms (WF) in participating into electricity markets. This paper proposes a reserve-based real-time operation strategy of ESS to make arbitrage and to alleviate the wind power deviation from day-ahead contracts. Taking into account the operation strategy as well as two-price balancing market rules, a day-ahead bidding strategy of WF-ESS system is put forward and formulated. A modified gradient descent algorithm is described to solve the formulations. In the case studies, the computational efficiency of the algorithm is validated firstly. Moreover, a number of scenarios with/without considering the temporal dependence of wind power forecast error are designed and employed to compare the proposed strategy with other common ones in terms of profit.
Keywords :
Artificial intelligence; Bidding strategy; electricity markets; energy storage system; real-time operation; wind farm;
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven, Netherlands
DOI :
10.1109/PTC.2015.7232244