摘要
为有效解决主动配电网的故障定位问题,提出了一种基于人工鱼群算法的主动配电网故障定位新方法。首先,提出适用于主动配电网的整数规划故障模型,根据馈线终端单元上传的电流越限信息,将复杂的配电网架构等效为由整数表述的故障向量。其次,为解决不同规模的主动配电网故障定位问题,构建新的适应度函数,并利用改进人工鱼群算法根据等效后的故障向量进行迭代寻优定位故障。该方法主要根据配电网中故障电流的方向来定位故障位置,而不需要考虑DG出力的不确定性。最后,通过Matlab仿真验证所提方法,结果表明该算法准确率高、迭代速度快、对畸变信息具有高容错能力。
In order to effectively locate the fault in active distribution network,a fault location method based on artificial fish swarm algorithm is proposed for active distribution network.Firstly,an integer programming fault model suitable for the active distribution network is proposed.According to the current limit information uploaded by the feeder terminal unit,the complex distribution network architecture is equivalent to the fault vector expressed by integer.Secondly,in order to locate the faults in different scale distribution networks,a new fitness function is constructed.The improved artificial fish swarm algorithm is used to perform the iterative optimization based on the equivalent fault vector to locate the fault location.This method mainly locates the fault according to the direction of the fault current in the distribution network,without considering the uncertainty of DG output.Finally,the effectiveness of the proposed method is verified by MATLAB simulation.The results show that the proposed method has high accuracy,fast iteration,high fault tolerance for distortion information,and can ignore the uncertainty of distributed power supply.
作者
胡珏
韦钢
谢素娟
罗志刚
袁洪涛
HU Jue;WEI Gang;XIE Sujuan;LUO Zhigang;YUAN Hongtao(College of Electric Engineering,Shanghai University of Electric Power,Shanghai 200090,China;State Grid Shanghai Municipal Electric Power Company,Shanghai 200122,China)
出处
《智慧电力》
北大核心
2020年第6期112-118,124,共8页
Smart Power
基金
国家自然科学基金青年科学基金资助项目(51807114)
上海绿色能源并网工程技术研究项目(13DZ2251900)。
关键词
主动配电网
故障定位
分布式电源
人工鱼群算法
人工智能
整数规划模型
active distribution network
fault location
distributed generator
artificial fish swarm algorithm
artificial intelligence
integer programming mode
作者简介
胡珏(1994),女,上海人,硕士研究生,研究方向为电力系统配电网故障定位、配电网优化运行等。
