电气传动2026，Vol.56Issue(2)：79-87,9.DOI:10.19457/j.1001-2095.dqcd26202
基于双重自适应PSO算法的储能电池一次调频容量配置方法
Primary Frequency Regulation Capacity Allocation Method for Energy Storage Batteries Based on Dual Adaptive PSO Algorithm
尹翔 1武超群 1刘岩 1程石 1翟亮 1李星1
作者信息
- 1. 国网新疆电力有限公司,新疆 乌鲁木齐 830000
- 折叠
摘要
Abstract
Wind power and other fluctuating renewable energy sources pose serious challenges to the safe and stable operation of the power grid.Integrating energy storage technology with wind power can effectively mitigate the volatility of wind power output and enhance grid frequency security.A dual adaptive particle swarm(PSO)algorithm was proposed as a primary frequency modulation(FM)capacity allocation method for energy storage batteries.The design method for battery power and capacity was explained.Combined with the economic model and charging/discharging strategy of the storage batteries participating in primary frequency modulation,an optimization allocation model was established for battery capacity to maximize the FM effect and the annualized net return.The PSO algorithm was improved by adopting an adaptive inertia weight and adaptive speed and position updating strategy to enhance convergence speed and optimization search accuracy.Experimental results show that the proposed approach can effectively enhance grid frequency support capability and improve the annualized net return of energy storage.关键词
一次调频/储能电池/容量配置/自适应策略/年化净收益Key words
primary frequency modulation/battery energy storage(BES)/capacity configuration/adaptive strategies/net annualized return分类
信息技术与安全科学引用本文复制引用
尹翔,武超群,刘岩,程石,翟亮,李星..基于双重自适应PSO算法的储能电池一次调频容量配置方法[J].电气传动,2026,56(2):79-87,9.
