电力系统保护与控制2026，Vol.54Issue(5)：13-23,11.DOI:10.19783/j.cnki.pspc.250771
极端事件下考虑储能支撑频率响应全过程调节的随机优化方法
A stochastic optimization method considering the whole process of energy storage supporting frequency response under extreme events
摘要
Abstract
Extreme events represented by typhoons occur frequently and pose a severe threat to the frequency security of receiving-end power grids,while the fast regulation capability of energy storage is of great significance for maintaining frequency security.To this end,a stochastic optimization method is proposed that considers the entire process of regulating the frequency response of energy storage support under extreme events.First,a probabilistic failure model of DC interconnection lines under typhoon scenarios is established.Second,the frequency response characteristics of the entire process based on energy storage regulation after faults are analyzed,and analytical expressions for power-energy reserve capacity are derived.A criterion is then proposed to quantify the effects of frequency deviation while reflecting the frequency regulation contributions of synchronous generators and energy storage,as well as system resilience.Subsequently,a security-constrained stochastic optimization model is constructed.In the first stage,the system cost is minimized,and in the second stage,a probabilistic model of the DC interconnection lines under typhoon scenarios is embedded to ensure grid frequency security.Finally,the effectiveness of the proposed model is verified on an improved asynchronously interconnected power grid and a regional receiving-end power grid.The results show that the proposed model can effectively enhance system resilience under extreme events and improve post-fault frequency dynamic performance.关键词
极端事件/直流联络线/频率安全/储能/受端电网/台风场景Key words
extreme events/DC interconnection line/frequency security/energy storage/receiving-end grid/typhoon scenario引用本文复制引用
张大海,郑鑫鑫,吴雪,和敬涵,胡晓晨..极端事件下考虑储能支撑频率响应全过程调节的随机优化方法[J].电力系统保护与控制,2026,54(5):13-23,11.基金项目
This work is supported by the National Natural Science Foundation of China(No.U22B20103). 国家自然科学基金项目资助(U22B20103) （No.U22B20103）
