考虑投资建设成本和电网安全运行的多目标充电站规划方法

Jing Zhang, Linru Jiang, Wen Wang, Ye Yang, Ruohan Wang, Jing Li, Changhai Zhuang
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引用次数: 0

摘要

充电站布局不合理会增加充电站的投资建设成本,影响电网的安全运行。针对目前充电站布局不合理的问题,提出了一种多目标布局规划方法。首先,利用蒙特卡罗方法对电动汽车充电负荷进行时空预测,并将预测结果作为充电站初步选址的条件;建立了以社会综合成本和网络损失最小为目标的多目标优化模型。通过设置最大线路功率约束和最大电压偏移约束,实现电网的安全运行要求。其次,采用多目标优化算法对模型进行求解,得到Pareto最优解集;通过N-1运行评价剔除不符合安全要求的方案后,运用模糊理论得出满意度最高的方案,即综合社会成本为3572.38kCNY,网络损耗为214.35kW•h。最后,通过对仿真结果的分析,验证了模型和算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective Charging Station Planning Method Considering Investment Construction Cost and Safe Operation of the Power Grid
The unreasonable layout of charging stations will increase the investment construction cost of charging stations and affect the safe operation of the power grid. To solve the existing unreasonable charging stations layout problem, this paper proposes a multi-objective layout planning method. Firstly, the Monte Carlo method is used to predict the charging load of electric vehicles (EV) in time and space, and the prediction results are used as the conditions of primary location selection of charging stations. A multi-objective optimization model is established to minimize the comprehensive social cost and network loss. By setting the constraints of the maximum line power and the maximum voltage offset, the safe operation requirements of the power grid are achieved. Secondly, the model is solved by a multi-objective optimization algorithm and the Pareto optimal solution set is obtained. Besides, after eliminating the solutions that do not meet the safety requirements by N-1 running evaluation, the solution with the highest satisfaction is derived by fuzzy theory, which is 3572.38kCNY on comprehensive social cost and 214.35kW•h on network loss respectively. Finally, the feasibility of the model and algorithm is verified by analyzing the results.
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