摘要
针对由多个储能单元组成的大型电池储能系统(BESS)不规则充放电导致的储能单元健康状态(SOH)和荷电状态(SOC)不一致性问题,研究储能单元内SOH差异与SOC一致性的关系。结合充放电优先级排序和自适应变异粒子群优化(AMPSO)算法,提出考虑储能单元SOH和SOC一致性的BESS功率分配策略。基于包含BESS、风/光发电、电动汽车和常规负荷的共直流母线型集中式微电网并网示范平台的实测数据,对所提功率分配控制策略与传统功率分配控制策略进行了对比仿真分析。仿真结果表明,所提控制策略可有效提高储能单元SOC的一致性,延长储能单元使用寿命,降低储能单元运行损耗,增强BESS双向调节能力。
Aiming at the inconsistency of the state of health(SOH)and the state of charge(SOC)of energy storage units caused by irregular charging and discharging of a large battery energy storage system(BESS)composed of multiple energy storage units,the relationship between SOH difference in energy storage units and SOC consistency is studied.Combining the prioritization of charging and discharging and adaptive mutation particle swarm optimization(AMPSO)algorithm,a BESS power allocation strategy considering the consistency of SOH and SOC of energy storage units is proposed.Based on the measured data of the gridconnected demonstration platform of centralized microgrid with common DC-bus including the BESS,wind/photovoltaic power generation,electric vehicle and conventional loads,the proposed power distribution control strategy is compared with the traditional distribution control strategies.The simulation results show that the proposed control strategy can effectively improve the SOC consistency,prolong the service life and reduce the operation loss of the energy storage unit,as well as enhance the bidirectional regulation capability of the BESS.
作者
段双明
于航
刘聪
王铭岐
王苏亚
夏搏
DUAN Shuangming;YU Hang;LIU Cong;WANG Mingqi;WANG Suya;XIA Bo(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin 132012,China;Siping Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Siping 136000,China;Changchun Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Changchun 130000,China;Yichun Power Supply Company of State Grid Jiangxi Electric Power Co.,Ltd.,Yichun 336000,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2023年第5期65-73,共9页
Automation of Electric Power Systems
基金
吉林省自然科学基金资助项目(20200201198JC)
国家自然科学基金资助项目(U1866601)。
关键词
电池储能系统
储能单元
健康状态
荷电状态
一致性
功率分配
battery energy storage system(BESS)
energy storage unit
state of health(SOH)
state of charge(SOC)
consistency
power allocation
