| 考虑电压稳定性和充电服务质量的电动汽车充电站规划 |
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| 引用本文： | 程杉,吴思源,孙伟斌.考虑电压稳定性和充电服务质量的电动汽车充电站规划[J].电力系统保护与控制,2019,47(7):12-21. |
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| 作者姓名： | 程杉 吴思源 孙伟斌 |
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| 作者单位： | 新能源微电网湖北省协同创新中心(三峡大学),湖北宜昌443002;三峡大学电气与新能源学院,湖北宜昌443002;新能源微电网湖北省协同创新中心(三峡大学),湖北宜昌443002;三峡大学电气与新能源学院,湖北宜昌443002;新能源微电网湖北省协同创新中心(三峡大学),湖北宜昌443002;三峡大学电气与新能源学院,湖北宜昌443002 |
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| 基金项目： | 国家自然科学基金项目资助(51607105);湖北省教育厅科学技术研究(中青年人才)项目资助(Q20161203) |
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| 摘 要： | 充电站的合理规划可有效降低其建设对电网产生的不利影响,促进电动汽车(Electric Vehicle, EV)规模化应用及其产业发展。通过交通起止点分析确定充电需求点信息,在满足充电可靠性的前提下确定候选站址方案。基于系统电压稳定性和充电服务质量,建立了充电站规划的多目标优化模型。采用超效率数据包络分析方法确定各目标函数权重系数,将多目标优化问题转化为单目标优化问题,运用动态自适应粒子群优化算法求解。最后以IEEE33节点系统结合待规划区域为例进行仿真,结果验证了所提方法的有效性。
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| 关 键 词： | 电动汽车 充电站规划 电压稳定指标 服务质量指标 交通起止点分析 |
| 收稿时间： | 2018/5/3 0:00:00 |
| 修稿时间： | 2019/1/4 0:00:00 |
Optimal planning of charging stations for electric vehicles considering voltage stability of distribution system and the quality of service |
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| CHENG Shan,WU Siyuan and SUN Weibin.Optimal planning of charging stations for electric vehicles considering voltage stability of distribution system and the quality of service[J].Power System Protection and Control,2019,47(7):12-21. |
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| Authors: | CHENG Shan WU Siyuan and SUN Weibin |
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| Affiliation: | Hubei Provincial Collaborative Innovation Center for New Energy Microgrid CTGU, Yichang 443002, China;College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China,Hubei Provincial Collaborative Innovation Center for New Energy Microgrid CTGU, Yichang 443002, China;College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China and Hubei Provincial Collaborative Innovation Center for New Energy Microgrid CTGU, Yichang 443002, China;College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China |
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| Abstract: | Reasonable planning of charging stations enables to greatly reduce the reactive effect of its construction to the power system, and promote the large-scale application of the electric vehicle and its industry development. In this paper, charging demand is determined by Origin-destination (OD) analysis, and the candidate configuration solutions are derived with charging reliability satisfied. A Multi-objective Optimization (MOO) model of charging stations is established with consideration of the voltage stability and the service quality. To determine the appropriate weights for the MOO functions, the super-efficiency data envelopment analysis is adopted to convert the MOO problem into a single one that is solved by a dynamic adaptive particle swarm optimization. Finally, numerical simulation based on a planned area combined with the IEEE 33 system has been carried out and the corresponding results verify the effectiveness of the proposed method. This work is supported by National Natural Science Foundation of China (No. 51607105). |
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| Keywords: | electric vehicle charging station planning voltage stability index quality of service index origin-destination (OD) analysis |
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