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基于遗传算法的小区电动汽车充电策略研究

Research on Charging Strategy of Residential Electric Vehicle Based on Genetic Algorithm
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摘要 大量电动汽车的充电负荷无序接入,会对电网造成很多负面影响,因此需要对居民进行有序充电策略研究。本文先根据居民区车主行为特性搭建充电负荷模型,并对无序充电进行仿真计算分析。再利用遗传算法模拟仿真出不同时段下的有序充电结果,分析论证优化的可行性。 The disorderly access of a large number of electric vehicles will have a negative impact on the power grid,so it is necessary to study the orderly charging strategy of residents.In this paper,a charging load model is built according to the behavior characteristics of vehicle owners in residential areas,and the disordered charging is simulated and analyzed.Then,the genetic algorithm was used to simulate the orderly charging results under different time periods,and the conclusions were analyzed and the feasibility of optimization was demonstrated.
作者 陈美灵枝 Chen Mei Lingzhi
出处 《时代汽车》 2024年第13期91-93,共3页 Auto Time
关键词 电动汽车充电 有序充电 遗传算法 Electric Vehicle Charging Sequential Charging Genetic Algorithm
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