基于模态行波时差与聚类算法的配网故障定位方法
Distribution Network Fault Location Based on Modal Traveling Wave Time Difference and Clustering Algorithm
肖明 1范彧珩 2张勇 2张银龙 2王辰阳2
作者信息
- 1. 国网湖北省电力有限公司襄阳供电公司,湖北襄阳 441000
- 2. 国网湖北省电力有限公司枣阳市供电公司,湖北枣阳 441200
- 折叠
摘要
由于恶劣天气、人类活动或其他一些因素,电网可能会产生故障,而电网结构的复杂性增加了故障定位(FL)的难度.利用网络中异步采样的模态行波(MTW)的到达时间差(TDOA)信息提出一种新的故障定位方案.首先,通过搜索模态行波的最小到达时间差来确定故障区域.然后,在故障区域应用聚类算法分析故障波形.最后,通过求解故障定位与多个故障定位候选之间的绝对距离的目标函数来估计准确的故障定位.在某总线系统中进行了各种仿真.
Abstract
Bad weather,human activities,and other factors may cause faults in.operating power grids.The complexity of grid structure increases the difficulty of fault location(FL).This work proposed a novel FL scheme based on the arrival time difference(TDOA)information of the modal traveling wave(MTW)with asynchronous sampling in the network.First the faulty area was determined by searching the minimum TDOA of the MTW.Then a clustering algorithm was ap-plied to analyze fault wave forms in the faulty area.Finally the accurate FL was estimated by solving the objective function of absolute distance between FL and multiple FL candidates.Various simulations were performed in the one-bus system to verify the utility of the proposed method.
关键词
变异步测量/模态行波/时差/故障特征库Key words
asynchronous measurement/modal traveling wave/time difference/fault feature library引用本文复制引用
出版年
2024
NETL
NSTL
万方数据