摘要
“双碳”目标的提出和能源电力低碳转型的持续推进,以新能源为主体的新型电力系统面临着规模化安全高效储能等能源问题的重要挑战。在这一背景下,储能电站作为能源系统中关键的组成部分,其安全管理尤为重要,直接关系到整个电力系统的稳定运行和可持续发展。针对锂离子电池本体安全管理的研究现状展开深入分析,首先,系统回顾了当前广泛应用的各类电池健康评估方法,并详细总结了数据驱动方法中健康因子的选择;其次,从基于数据碎片评估电池状态、电池边缘平台构建与储能电站智慧巡检3个方面出发,探讨了现有电池状态评估技术的最新研究热点,指出储能安全评估未来的发展方向和关键挑战;最后,总结储能电站的安全控制技术,针对计及电池参数变化的系统稳定性与储能系统多目标控制问题提出了相关见解。
The introduction of the "dual carbon" targets and the ongoing advancement of low-carbon transitions in energy and electricity have posed significant challenges to the new-type power system,which primarily relies on renewable energy sources,particularly in terms of large-scale,safe,and efficient energy storage.In this context,energy storage stations,as a crucial component of the energy system,are of utmost importance in terms of safety management,directly influencing the stable operation and sustainable development of the entire power system.This essay delves into the current research status of lithium-ion battery safety management.Firstly,it systematically reviews the various battery health assessment methods widely used today and comprehensively summarizes the selection of health indicators in data-driven approaches.Secondly,it discusses the latest research hotspots in existing battery state assessment technologies from three perspectives:battery state evaluation based on data fragmentation,the construction of battery edge platforms,and intelligent inspection of energy storage stations.The essay also points out the future direction and key challenges of energy storage safety assessment.Lastly,it presents insights into the safety control technologies for energy storage stations,addressing the system stability considering battery parameter variations and the multi-objective control of energy storage systems.
作者
夏向阳
谭欣欣
单周平
李辉
徐志强
吴晋波
岳家辉
陈贵全
XIA Xiangyang;TAN Xinxin;SHAN Zhouping;LI Hui;XU Zhiqiang;WU Jinbo;YUE Jiahui;CHEN Guiquan(School of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410114,China;BASF Sugo Battery Materials Company Limited,Changsha 410000,China;State Grid Hunan Economic and Technological Research Institute Co.,Ltd.,Changsha 410000,China;State Grid Hunan Electric Power Research Institute,Changsha 410000,China)
出处
《中国电力》
CSCD
北大核心
2024年第11期1-17,共17页
Electric Power
基金
国家自然科学基金资助项目(51977014)。
关键词
锂离子电池
健康因子
状态评估
边缘计算
智慧巡检
多目标控制
lithium-ion battery
state of health
state estimation
edge computing
intelligent inspection
multi-objective control