兼顾不同角色利益的集中型充电站优化布局

发布时间：2018-07-09 17:14

  本文选题：集中型充电站 + 用户满意度　； 参考：《高电压技术》2017年04期

【摘要】：考虑到充电站投资主体和充电用户两种不同角色所追求的利益互异会影响充电站规划决策,发展了一种兼顾投资主体投资成本和充电用户满意度的集中型充电站双层优化布局模型。根据各类电动汽车(EVs)的行为特性建立了电动汽车充电功率需求模型。以企业投资成本和用户满意度分别作为双层规划模型的上层和下层目标函数,并考虑企业投资预算约束、电网约束、充电站容量约束和充电用户需求约束,综合反映了不同角色间的耦合决策作用。双层规划问题属于强NP-hard问题,采用量子遗传算法求解上层规划模型,采用粒子群算法求解下层规划模型,并输出最终充电站布局方案。结果表明,综合考虑投资成本和用户满意度的集中型充电站方案能合理兼顾投资主体和用户的各自利益,实现投资成本和用户满意度的有效折衷。
[Abstract]:Considering that the different interests pursued by the two different roles of charging station investors and charging users may affect the planning decisions of charging stations, In this paper, a double layer optimal layout model for charging stations is developed, which takes into account the investment cost of the investors and the satisfaction of charging users. According to the behavior characteristics of various electric vehicles (EVs), a charging power demand model for electric vehicles is established. The enterprise investment cost and customer satisfaction are taken as the upper and lower level objective functions of the bilevel programming model respectively, and the investment budget constraints, power network constraints, charging capacity constraints and charging user demand constraints are considered. It reflects the coupling decision function between different roles. The bilevel programming problem is a strong NP-hard problem. Quantum genetic algorithm (QGA) is used to solve the upper programming model and particle swarm optimization (PSO) is used to solve the lower programming model, and the final charging station layout scheme is outputted. The results show that the scheme of integrated investment cost and customer satisfaction can give consideration to the interests of investors and users and realize an effective compromise between investment cost and customer satisfaction.
【作者单位】： 四川大学电气信息学院;国网四川省电力公司电力科学研究院;
【基金】：国家自然科学基金(51377111)~~
【分类号】：U491.8
，

本文编号：2110061