摘要
分布式电源的接入使得传统配电网在潮流分布与结构上发生了改变,许多传统配电网的故障分析方法不再适用。基于此,提出了一种基于改进前推回代潮流算法的有源配电网故障定位方法,算法基于电流最小偏差原理,并采用松弛因子保证前推回代潮流计算迭代矩阵的谱半径始终小于1,使用遗传算法作为寻优工具。最后,采用改进IEEE 33节点搭建有源配电网模型进行仿真计算,验证了所提方法的有效性。
The access of distributed generation has changed the distribution and structure of the traditional distribution network,and many traditional distribution network failure analysis methods have failed accordingly.Based on this,this paper proposes a fault location method for an active distribution network based on the improved forward-backward power flow algorithm,which is based on the principle of minimum current deviation and uses a relaxation factor to ensure that the spectral radius of the forward-backward power flow calculation iteration matrix is always less than 1;besides,it uses genetic algorithm as an optimization tool.The improved IEEE33 node model is used to build an active distribution network to simulate the algorithm,which verifies the effectiveness of the method.
作者
潘翀
刘鑫
PAN Chong;LIU Xin(State Grid Chengdu Power Supply Company,Chengdu 610064,China;State Grid Sichuan Electric Power Maintenance Company,Chengdu 610041,China)
出处
《浙江电力》
2020年第11期97-102,共6页
Zhejiang Electric Power
关键词
分布式电源
有源配电网
前推回代潮流算法
最小电流偏差
遗传算法
distributed generation
active distribution network
forward-backward power flow algorithm
minimum current deviation
genetic algorithm
