电力系统保护与控制2026，Vol.54Issue(10)：173-187,15.DOI:10.19783/j.cnki.pspc.251172
多时间尺度储能系统优化规划关键问题综述
Review of key issues in optimal planning of multi-time scale energy storage systems
摘要
Abstract
With the increasing penetration of renewable energy in power systems,energy storage—serving as a critical resource for ensuring system security and flexibility—has attracted widespread attention in terms of its planning methods.Multi-type storage systems can support supply-demand balance across multiple time scales.In this context,this paper first focuses on three key time-scale related planning problems of energy storage:at the long-term scale,energy storage facilitates power and energy balance in the power system;at the medium-term scale,it is used to address uncertainties caused by extreme weather and enhance system resilience;and at the short-term scale,it ensures secure and stable system operation through fast and flexible control strategies.Subsequently,this paper systematically reviews recent optimization planning methods for multi-type energy storage systems in relation to these three key issues,summarizing typical modeling approaches and solution techniques,and analyzing their limitations.Finally,future research directions are highlighted,including cross multi-scale and multi-functional integrated planning,coordination optimization of multi-energy systems and flexibility resources,refined modeling of the temporal characteristics of extreme weather,applications of grid-forming and grid-following energy storage in transient stability,and cost-benefit analysis under market environments.This research aims to provide a reference for future research and practical applications of multi-time scale energy storage planning in power systems with high renewable energy penetration.关键词
储能系统/优化规划/多时间尺度/多重功能/极端天气Key words
energy storage system/optimal planning/multi-time scales/multi-functionality/extreme weather引用本文复制引用
冯建洲,胡泽春,崔畅,吴银琼..多时间尺度储能系统优化规划关键问题综述[J].电力系统保护与控制,2026,54(10):173-187,15.基金项目
This work is supported by the National Key Research and Development Program of China(No.2022YFB2403000). 国家重点研发计划项目资助(2022YFB2403000) （No.2022YFB2403000）
中国南方电网有限责任公司科技项目资助(030500KK52220004(GDKJXM20220146)) （030500KK52220004(GDKJXM20220146）
