提升光储充电站运行效率的多目标优化配置策略  

Multi-objective Optimal Configuration Strategy for Improving Operation Efficiency of Photovoltaic Energy Storage Charging Stations

作　　者：易建波[1] 胡猛[1] 王泽宇 胡维昊 黄琦[1,2] YI Jianbo;HU Meng;WANG Zeyu;HU Weihao;HUANG Qi(Key Laboratory of Wide-area Measurement and Control on Power System of Sichuan Province(University of Electronic Science and Technology of China),Chengdu 611731,China;School of Information Engineering,Southwest University of Science and Technology,Mianyang 621010,China)

机构地区：[1]电力系统广域测量与控制四川省重点实验室(电子科技大学),四川省成都市611731 [2]西南科技大学信息工程学院,四川省绵阳市621010

出　　处：《电力系统自动化》2024年第14期100-109,共10页Automation of Electric Power Systems

基　　金：国家自然科学基金面上项目(52277083);四川省科技厅重点研发计划资助项目(2021YFG0098)。

摘　　要：光储充电站的运行效率直接影响到其经济效益及电网侧的电能质量。针对在进行容量配置时对运行效率考虑不足会导致非必要的电能损耗,文中提出一种提升光储充电站运行效率的多目标优化配置策略。通过分析光储充电站变换器与内源线路功率损耗对于运行效率的影响,提出充电站的运行效率评估指标与计算方法,并讨论光储充电站运行效率对其容量配置的影响。建立以充电站经济效益、运行效率、电网侧峰谷供电功率补偿能力最佳为优化目标的多目标容量优化配置策略。针对优化目标特性,提出一种改进二代非支配排序遗传算法得到优化策略求解方法。选取中国西南地区某典型光储充电站运营场景,通过算例验证了优化策略的有效性与优越性。The economic benefits and grid-side power quality of photovoltaic energy storage charging stations are directly affected by their operation efficiency.As insufficient consideration of operation efficiency during the capacity configuration can lead to unnecessary power losses,this paper proposes a multi-objective optimal configuration strategy for improving the operation efficiency of photovoltaic energy storage charging stations.By analyzing the impact of power losses of both the converter and the internal source line on the operation efficiency of the photovoltaic energy storage charging stations,this paper proposes evaluation indicators and calculation methods for the operation efficiency of charging stations,and discusses the impact of operation efficiency of photovoltaic energy storage charging stations on their capacity configuration.A multi-objective optimal capacity configuration strategy is established with the optimal economic benefits of charging stations,operation efficiency,and grid-side peak-valley power compensation capacity as the optimization objectives.Aiming at the characteristics of the optimization objectives,an improved non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ) is proposed to obtain the solution method for the optimization strategy.The effectiveness and superiority of the optimization strategy are verified through a case study on operation scenarios of a typical photovoltaic energy storage charging station in southwest China.

关 键 词：光储充电站 运行效率 容量优化配置 多目标优化 改进非支配排序遗传算法 

分 类 号：TM910.6[电气工程—电力电子与电力传动]