钱科军;谢鹰;张新松;李亚飞;徐杨杨;陆胜男;

• 1:国网江苏省电力有限公司苏州供电分公司
• 2:南通大学电气工程学院

摘要(Abstract)：

建立了考虑电动汽车充电负荷随机特性的充电网络多目标规划模型,对充电站建设地址和容量进行优化。采用蒙特卡洛法对充电站规划典型日内的充电负荷进行模拟,并在此基础上采用场景概率法进行配电系统概率潮流分析。基于概率潮流分析结果,将规划模型中的配电线路潮流约束与节点电压约束建模为机会约束。此外,模型同时考虑充电服务能力最大与配电系统损耗最低2个不同维度的优化目标,采用模糊数学方法将其转化为基于最大满意度的单目标优化模型,并采用遗传算法求解。基于25节点交通网络和IEEE 33节点配电系统的仿真实验验证了所提模型和方法的有效性。

关键词(KeyWords)： 电动汽车;充电网络规划;概率潮流;模糊多目标优化;机会约束

Abstract:

Keywords:

基金项目(Foundation): 国网江苏省电力有限公司科技项目(合同编号：SGJSSZ00KJJS1903295)~~

作者(Author): 钱科军;谢鹰;张新松;李亚飞;徐杨杨;陆胜男;

Email:

DOI: 10.13335/j.1000-3673.pst.2020.0201a

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