V2G模式下计及数据不确定性的配电网重构方法  

A Distribution Network Reconfiguration Method Considering Uncertainty in Vehicle to Grid Mode

作　　者：魏雨涵 孟晓丽 刘科研 WEI Yuhan;MENG Xiaoli;LIU Keyan(Distribution Technology Center,China Electric Power Research Institute Co.,Ltd.,Beijing 100192,China)

机构地区：[1]中国电力科学研究院有限公司配电技术中心,北京100192

出　　处：《电力信息与通信技术》2022年第5期1-8,共8页Electric Power Information and Communication Technology

基　　金：国家自然科学基金项目(52061635104)。

摘　　要：面对电动汽车在配电网中的大规模接入,利用其在车辆到电网模式下向电网反馈电能的能力协助配网进行网络重构,有助于优化网络潮流,对实现配电网安全、稳定经济运行有重要意义。为此,文章提出了一种车辆到电网模式下计及数据不确定性的配电网重构优化方法。所提出的重构模型以最小化网损、最小化供电不足期望和最小化开关操作费用为目标函数。在模型求解方面,使用区间分析法处理数据不确定性,结合二进制粒子群算法及和声搜索算法对模型进行求解。针对IEEE-33节点系统算例,不同场景下的实验结果证明了所提出算法的有效性。With the large-scale access of electric vehicles in distribution network,using its ability to feed back electric energy to power grid in vehicle to grid mode to support distribution network in network reconfiguration is helpful to optimize the network power flow and is of great significance to realize the safe,stable and economic operation of distribution network.Therefore,a distribution network reconfiguration optimization method considering data uncertainty in vehicle to grid mode is proposed in this paper.The objective function of the proposed reconfiguration model is to minimize the network loss,minimize the expectation of insufficient power supply and minimize the switching operation cost.Interval analysis method is used to deal with data uncertainty,and binary particle swarm optimization algorithm and harmony search algorithm are combined to solve the model.The experimental results with IEEE-33 bus system in different scenarios show the effectiveness of the proposed algorithm.

关 键 词：配电网重构 区间数据 V2G 数据不确定性 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]