电动汽车充电桩与分布式电源多阶段协同规划方法  

Combined multi-stage planning method of EV charging piles and distributed generations

作　　者：石立国 李延真 关雪琳 刘栋 孙嘉越 SHI Liguo;LI Yanzhen;GUAN Xuelin;LIU Dong;SUN Jiayue(State Grid Shandong electric power company Qingdao power supply company,Qingdao 266001,China;Tianjin Xianghe Electric Co.,Ltd.,Tianjin 300000,China)

机构地区：[1]国网山东省电力公司青岛供电公司,山东青岛266001 [2]天津相和电气科技有限公司,天津300000

出　　处：《供用电》2022年第5期33-40,53,共9页Distribution & Utilization

基　　金：国网山东省电力公司科技项目“面向大规模充电需求的配电网与充电设施网络化协调与柔性智能群控技术”(520602210004)。

摘　　要：近年来,电动汽车负荷与分布式电源规模的快速增长,给配电网规划带来了新的挑战。为此,提出一种电动汽车充电桩与分布式电源多阶段协同规划方法。首先考虑时序特性建立电动汽车分布、分布式电源出力与常规负荷用电的多场景规划模型。然后以经济性、用户用电满意度和碳排放为目标,建立基于数据包络分析的多阶段规划模型。最后,以12节点交通网与IEEE 33节点配电网组成的耦合系统为算例,采用改进的自由搜索算法进行求解多维度非线性寻优问题,得到各阶段优化配置方案。仿真结果表明,所提方法避免了单阶段规划前期设备冗余、后期设备不足的问题,能够较好地满足规划目标,具有一定的可行性与合理性。In recent years,the rapid growth of electric vehicles (EVs) load and distributed generations (DGs) have brought new challenges to the planning of distribution network.Therefore,this paper proposes a multi-stage collaborative planning method for EVs charging piles and DGs.Firstly,a multi-scenario planning model of EVs distribution,DGs output and conventional load power consumption were established considering the timing characteristics.Then,a multi-stage planning model based on data envelopment analysis (DEA) is established with the objectives of economy,user’s electricity satisfaction and carbon emission.Finally,taking IEEE 33-bus distribution network and 12-node traffic network as examples,the improved free search algorithm was used to solve the multidimensional nonlinear optimization problem,and the optimal configuration scheme of each stage is obtained.The simulation results show that the proposed method can avoid the problem of equipment redundancy in the early stage and insufficient equipment in the later stage of single-stage planning,and can better meet the planning objectives,what is more the method is feasibility and rationality.

关 键 词：电动汽车 分布式电源 多场景模型 多阶段规划 改进自由搜索算法 

分 类 号：TM651[电气工程—电力系统及自动化]