| 引用本文: | 栗然,臧向迪,张文昕,罗东晖,李鹏程.共享电动汽车混合充换电站选址优化[J].电力自动化设备,2021,41(10): |
| LI Ran,ZANG Xiangdi,ZHANG Wenxin,LUO Donghui,LI Pengcheng.Location optimization of hybrid charging and changing station for shared electric vehicles[J].Electric Power Automation Equipment,2021,41(10): |
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| 摘要: |
| 在未来城市中更换电池这种便捷、高效的方式将成为共享电动汽车补充电能的主要方式。为了建立效率高、成本低、电网友好型的混合充换电站，首先根据共享电动汽车的租赁规律以及功率、时间等充电数据，利用蒙特卡洛模拟方法预测共享电动汽车的充电负荷；然后，以共享电动汽车充换电站对用户捕获程度最大、配电系统网络损耗最小和配电系统电压偏移最小为目标，建立共享电动汽车混合充换电站最优规划的多目标模型；最后，采用改进带精英策略的非支配排序遗传算法(NSGA-Ⅱ)对多目标模型进行求解，得到Pareto最优解集。以25节点交通网络和IEEE 33节点配电系统为例，验证了所建模型的可行性，可为共享电动汽车混合充换电站的建设提供可行性经验。 |
| 关键词: 共享电动汽车；混合充换电站；多目标优化；NSGA-Ⅱ Pareto最优解 |
| DOI：10.16081/j.epae.202110022 |
| 分类号:U469.72 |
| 基金项目: |
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| Location optimization of hybrid charging and changing station for shared electric vehicles |
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LI Ran, ZANG Xiangdi, ZHANG Wenxin, LUO Donghui, LI Pengcheng
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College of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071000, China
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| Abstract: |
| The way of replacing batteries which is convenient and efficient will become the main way to replenish power for shared EVs(Electric Vehicles) in future cities. In order to establish a hybrid charging and changing station with high efficiency, low cost and power grid friendliness, Monte Carlo simulation method is used to forecast the charging load of shared EVs based on shared EVs’ leasing rule and charging data such as power, time, and so on. Then, a multi-objective optimal planning model of hybrid charging and changing station for shared EVs is established with the goals of maximizing user capture degree of charging and changing station for shared EVs and minimizing network loss and voltage offset of distribution system. Finally, the improved NSGA-Ⅱ(Nondominated Sorting Genetic Algorithm Ⅱ) with elite strategy is used to solve the multi-objective model, and the Pareto optimal solution set is obtained. Taking 25-node traffic network and IEEE 33-bus distribution system as the example, the feasibility of the proposed model is verified, which can provide feasible experience for the construction of hybrid charging and changing station for shared EVs. |
| Key words: shared electric vehicles hybrid charging and changing station multi-objective optimization NSGA-Ⅱ Pareto optimal solutions |
