考虑电动汽车充电站选址定容的配电网规划  

Distribution Network Planning by Considering Siting and Sizing of Electric Vehicle Charging Stations

作　　者：陈婷[1] 卫志农[1] 吴霜[1] 孙国强[1] 韦延方[1] 许晓慧[2] 

机构地区：[1]河海大学能源与电气学院,南京210098 [2]中国电力科学研究院,南京210003

出　　处：《电力系统及其自动化学报》2013年第3期1-7,共7页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金项目(51277052;51107032;61104045);国网公司总部科技项目:智能配用电的技术体系及仿真基础性问题研究

摘　　要：针对电动汽车充电站选址定容的配电网规划问题,建立了以配电网投资及运行成本、电动汽车充电站投资及运行成本最小为优化目标的模型。采用带精英策略的改进树形结构编码单亲遗传算法ITSE-PGA(improved tree structure encoding partheno-genetic algorithm),在配电网规划的同时进行了电动汽车充电站位置和容量的优化。不同于用于传统的配电网规划的树形结构编码单亲遗传算法,该方法在含电动汽车充电站的优化过程中,配电网络不一定连通,所以要对不可行解做特殊处理。通过算例仿真,验证了该方法的可行性和有效性。The problem of distribution network planning by considering siting and sizing of electric vehicle charging stations has recently received the increasing research attention. In this paper, an optimal model is proposed, which aims to minimize the investment and operation costs of the distribution network and electric vehicle charging stations. By using the improved tree structure encoding partheno-genetie algorithm （ITSE-PGA） with elitist strategy, the prob- lems of distribution network planning and optimization of the location and capacity of electric vehicle charging stations can he tackled simultaneously. Different from the ITSE-PGA for traditional distribution network planning, the consid- ered distribution network here is not necessarily connected in the optimization process when considering electric vehi- cle charging stations, so the infeasible solutions should be specially handled. Finally, simulation results are provided to show the feasibility and effectiveness of the proposed method.

关 键 词：电动汽车充电站 配电网规划 单亲遗传算法 树形结构编码 

分 类 号：TM71[电气工程—电力系统及自动化]