江西科学2024，Vol.42Issue(4)：840-844,850,6.DOI:10.13990/j.issn1001-3679.2024.04.024
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
摘要
Abstract
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Key words
moth to the flame algorithm/energy storage/spot market/trading method/market clearing分类
信息技术与安全科学引用本文复制引用
段先勇,徐海龙..基于飞蛾扑火算法的储能参与现货市场交易研究[J].江西科学,2024,42(4):840-844,850,6.基金项目
国家自然科学基金资助项目(51907036). （51907036）
