Huadian Technology ›› 2021, Vol. 43 ›› Issue (9): 46-53.doi: 10.3969/j.issn.1674-1951.2021.09.006

• Configuration of Energy Storage Devices • Previous Articles     Next Articles

Optimization bidding strategy for wind power and energy storage participating in energy market

LIU Linpeng1(), CHEN Jiajun1, ZHU Jianquan1,*(), HU Wenxia2, LUO Tao2   

  1. 1. School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China
    2. State Grid Power Supply Company,Wenzhou 325000,China
  • Received:2021-05-18 Revised:2021-06-30 Online:2021-09-25 Published:2021-09-23
  • Contact: ZHU Jianquan E-mail:1105918403@qq.com;zhujianquan@scut.edu.cn

Abstract:

To solve the problems in the bidding of wind power and energy storage in energy market and fast frequency modulation market,a coordinated optimization bidding strategy for wind power and energy storage based on approximate dynamic programming is proposed.Firstly,to maximize the income,the optimization bidding model for wind power and energy storage participating in energy market and fast frequency modulation that has taken the randomness of wind power and life degradation of energy storage into consideration is established.Secondly,to deal with the non-convexity and randomness of the bidding model,the approximate optimal solution of the original problem is obtained after being divided into multiple sub-problems by approximate dynamic programming and solved individually.Finally,the proposed method is applied to the power market in Guangzhou and the fast frequency modulation market in Maryland,New Jersey,Pennsylvania(PJM),and its effectiveness has been proven.

Key words: wind power, energy storage, approximate dynamic programming, fast frequency modulation, bidding strategy, hybrid of wind power and energy storage, renewable energy, new electric power system, carbon neutrality

CLC Number: