电力系统及其自动化学报2024，Vol.36Issue(8)：13-22,10.DOI:10.19635/j.cnki.csu-epsa.001296
基于PSTSO多目标优化储能系统功率分配
Power Allocation of Energy Storage System Based on PSTSO Multi-objective Optimization
摘要
Abstract
To improve the power allocation rationality of a battery energy storage system,a power allocation strategybased on the priority of status tuna swarm optimization(PSTSO)algorithm is proposed. First,three evaluation indica-tors for the power distribution of an energy storage system are formulated. Second,a mathematical model is established for the consistency among the energy storage system's operating cost,the state-of-health(SOH)loss of energy storage unit and the system's state-of-charge(SOC). Finally,the PSTSO algorithm is used for power allocation under the prem-ise of satisfying the system power balance,as well as the upper and lower bounds of SOC. The result of numerical analy-sis shows that the proposed strategy can effectively reduce the number of charges and discharges of the battery cell,re-duce the cell's capacity loss and ensure a good SOC consistency for the energy storage system.关键词
锂离子电池/储能系统/荷电状态/功率分配/多目标优化Key words
lithium-ion battery/energy storage system/state-of-charge(SOC)/power allocation/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
王雨虹,梁策,付华..基于PSTSO多目标优化储能系统功率分配[J].电力系统及其自动化学报,2024,36(8):13-22,10.基金项目
辽宁省教育厅项目(LJ2019QL015) （LJ2019QL015）
辽宁工程技术大学博士启动资金项目(22-1038) （22-1038）
