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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。
Considering that different interests pursued by two different roles of charging station investor and charging user may affect the charging station planning and decision-making, a double-layer optimal layout model of centralized charging station that takes into account the investment cost of the investment subject and the satisfaction of the charging user is developed . According to various types of electric vehicles (EVs) behavioral characteristics of electric vehicle charging power demand model. Taking the investment cost and customer satisfaction of enterprises as the upper and lower objective functions of the bilevel programming model respectively, and considering the investment budget constraints, grid constraints, charging station capacity constraints and charging user requirements constraints, the coupling decision between different roles is comprehensively reflected effect. The bilevel programming problem belongs to the strong NP-hard problem. The upper-layer programming model is solved by quantum genetic algorithm, the lower-level programming model is solved by the particle swarm optimization algorithm, and the final charging station layout scheme is output. The result shows that the scheme of centralized charging station considering the investment cost and customer satisfaction can balance the interests of investors and investors, and achieve an effective compromise between investment cost and customer satisfaction.