基于飞蛾扑火算法的储能参与现货市场交易研究  

A Method for Energy Storage to Participate in Spot Market Transactions Based on Moth-to-fire Algorithm

作　　者：段先勇 徐海龙 DUAN Xianyong;XU Haiong(Guangdong Yudean Electric Power Marketing Co.Ltd.,510000,Guangzhou,PRC)

机构地区：[1]广东粤电电力销售有限公司,广州510000

出　　处：《江西科学》2024年第4期840-844,850,共6页Jiangxi Science

基　　金：国家自然科学基金资助项目(51907036)。

摘　　要：随着电力现货市场体制建设的逐步推进,储能资源在电力市场交易中的作用日益重要。为解决储能参与电力现货市场收益率低的问题,提出了一种基于飞蛾扑火算法的储能参与现货市场交易方法。首先,通过近邻聚类统计储能终端用户的类型,并进行现货交易申报参数分析、参与现货市场优化。其次,采用飞蛾扑火算法对储能参与现货市场的出清交易价格进行了最优求解。最后,对算法在中国某城市中进行测算,较演化博弈利润提高了23.39%。该方法提升了储能参与电力现货市场交易盈利水平。With the gradual advancement of the construction of the electricity spot market system,the role of energy storage resources in electricity market transactions has become increasingly impor-tant.In order to solve the problem of low return rate of energy storage participating in electricity spot market,a method of energy storage participating in spot market transaction based on moth-to-fire algorithm is proposed.Firstly,the types of end-users of energy storage are classified using neighbor clustering,followed by an analysis of parameters of spot transaction declarations and optimization of participation in spot market.Secondly,the moth-to-fire algorithm is used to optimally solve the clearing transaction price of energy storage participating in the spot market.Finally,the algorithm was tested in a city in China,increasing profits by 23.39%compared to evolutionary game profits.This method improves the profitability of energy storage participating in electricity spot market trans-actions.

关 键 词：飞蛾扑火算法 储能 现货市场 交易方法 市场出清 

分 类 号：TM73[电气工程—电力系统及自动化]