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

• 储能规划配置 • 上一篇    下一篇

风储联合参与电能量与快速调频市场的优化投标策略

刘林鹏1(), 陈嘉俊1, 朱建全1,*(), 胡文霞2, 罗涛2   

  1. 1.华南理工大学 电力学院,广州 510641
    2.国网温州供电公司,浙江 温州 325000
  • 收稿日期:2021-05-18 修回日期:2021-06-30 出版日期:2021-09-25 发布日期:2021-09-23
  • 通讯作者: 朱建全
  • 作者简介:刘林鹏(1996—),男,江西赣州人,在读硕士研究生,从事人工智能在电力系统及电力市场应用等方面的研究(E-mail: 1105918403@qq.com)。
  • 基金资助:
    国家自然科学基金项目(51977081);广东自然科学基金项目(2018A0303131001);广东自然科学基金项目(2019A1515010877);中央高校基本科研业务费资助项目(2019MS020);电力系统国家重点实验室资助课题(SKLD20M15)

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

摘要:

“双碳”目标下需要构建以新能源为主体的新型电力系统,针对风储联合参与电能量与快速调频市场的优化投标问题,提出了一种基于近似动态规划的风储联合优化投标策略。首先,在最大化风储收益的基础上,考虑了风电的随机性和储能系统的寿命损耗特性,建立风储联合参与电能量与快速调频市场的优化投标模型;其次,为处理风储联合参与电能量与快速调频市场投标模型的非凸性和随机性,采用近似动态规划将原问题分成多个子问题,逐一求解后得到原问题的近似最优解;最后,将所提方法用于广东电力市场和宾夕法尼亚州-新泽西州-马里兰州(PJM)的快速调频市场,所得结果证明了其有效性。

关键词: 风电, 储能, 近似动态规划, 快速调频, 投标策略, 风储联合, 可再生能源, 新型电力系统, 碳中和

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

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