| 引用本文: | 张永明,姚志力,李菁,等.基于配电网概率潮流计算的电动汽车充电站规划策略[J].电力系统保护与控制,2019,47(22):9-16.[点击复制] |
| ZHANG Yongming,YAO Zhili,LI Jing,et al.Electric vehicle charging station planning strategy based on probabilistic power flow calculation of distribution network[J].Power System Protection and Control,2019,47(22):9-16[点击复制] |
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| 摘要: |
| 大规模电动汽车接入会导致配电网潮流分布发生变化，给配电网的运行带来风险。采用半不变量和Gram-Charlier级数计算考虑电动汽车充电负荷的配电网动态概率潮流。根据节点电压和支路潮流的越限严重程度，定义评价充电站对配电系统潮流影响的综合指标，提出了确定充电站最优电气接入点的方法。IEEE33节点配电系统的仿真计算结果表明，采用上述方法选择充电站的电气接入点可以降低配电网节点电压和支路潮流越限的风险，有助于通过充电设施的优化布局对电动汽车的充电行为进行引导和优化。 |
| 关键词: 配电网运行风险 电动汽车 充电站 概率潮流 半不变量法 |
| DOI：10.19783/j.cnki.pspc.181532 |
| 投稿时间：2018-12-07修订日期：2019-07-03 |
| 基金项目:国家重点研发计划项目资助(2018YFB0904604);上海市科委技术标准专项(18DZ2205700);上海市闵行区产学研合作计划(2017MH271) |
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| Electric vehicle charging station planning strategy based on probabilistic power flow calculation of distribution network |
| ZHANG Yongming,YAO Zhili,LI Jing,DU Zhendong,WANG Zhixin,XU Shize,WU Di,HUANG Zhonghua |
| (Zhejiang Huayun Electric Power Engineering Design & Consultation CO., LTD., Hangzhou 310014, China;School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China) |
| Abstract: |
| The access of a large number of electric vehicle loads will change the distribution of power flow in the distribution network and threaten the stability of the power grid. Based on the semi-invariant and Gram-Charlier series, this paper calculates the dynamic probability flow of the distribution network considering the charging load of electric vehicles. On this basis, a comprehensive index evaluating the influence of the charging station on the power flow of the power distribution system is defined based on the risk indicator of branch overload and bus voltage violation, and a method for determining the optimal electrical access point of the charging stations is proposed. The simulation results of IEEE33 node power distribution system show that using this method to select the electrical access point of the charging stations can reduce the risk of branch overload and bus voltage violation. It can be used to guide the charging behavior of electric vehicles through an optimized layout of the charging facility. This work is supported by National Key Research and Development Program of China (No. 2018YFB0904604), The Technical Standards of Shanghai Science and Technology Commission (No. 18DZ2205700) and Shanghai Minhang District Industry University Research Cooperation Project (No. 2017MH271). |
| Key words: operational risks of distribution power grid electric vehicles charging station probabilistic load flow cumulant method |
