基于PSTSO多目标优化储能系统功率分配OA北大核心CSTPCD
Power Allocation of Energy Storage System Based on PSTSO Multi-objective Optimization
为提高电池储能系统的功率分配合理性,提出基于状态优先的金枪鱼群优化PSTSO(priority of status tuna swarm optimization)算法的储能系统功率分配策略.首先设定了3个储能系统功率分配的评价指标,其次建立储能系统的运行成本、储能单元的健康状态SOH(state-of-health)损失、储能系统的荷电状态SOC(state-of-charge)一致性的数学模型,最后在满足系统功率平衡和SOC上、下限约束条件下…查看全部>>
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 a…查看全部>>
王雨虹;梁策;付华
辽宁工程技术大学电气与控制工程学院,葫芦岛 125105辽宁工程技术大学电气与控制工程学院,葫芦岛 125105辽宁工程技术大学电气与控制工程学院,葫芦岛 125105
动力与电气工程
锂离子电池储能系统荷电状态功率分配多目标优化
lithium-ion batteryenergy storage systemstate-of-charge(SOC)power allocationmulti-objective optimization
《电力系统及其自动化学报》 2024 (8)
13-22,10
辽宁省教育厅项目(LJ2019QL015)辽宁工程技术大学博士启动资金项目(22-1038)
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