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基于稀疏表示的配电网故障区段定位研究
引用本文:杨睿,高红均,李海波,吕小东,刘友波,刘俊勇.基于稀疏表示的配电网故障区段定位研究[J].陕西电力,2021,0(10):8-15,96.
作者姓名:杨睿  高红均  李海波  吕小东  刘友波  刘俊勇
作者单位:(1. 四川大学 电气工程学院,四川 成都 610065; 2. 清华四川能源互联网研究院,四川 成都 610042)
摘    要:提出一种基于稀疏表示的故障定位算法,仅需要少量的故障前后的电压幅值信息,通过故障节点电压方程,重构故障电流向量,根据该向量非零元素的位置来确定网络中发生故障的具体位置。提出了一种重构稀疏向量的求解算法,在定位算法中施加了两类约束条件,缩小了求解空间,为避免约束条件中出现的非线性约束条件造成的求解困难,将原问题分解成多个子问题,达到求解目的。IEEE33节点配电系中仿真验证表明:本方法仅需要6个测点便可有效定位故障,并且此方法基本不受故障类型、过渡电阻的影响,还具有强抗噪性。

关 键 词:配电网  稀疏表示  故障区段定位

Fault Section Location in Distribution Network Based on Sparse Representation
YANG Rui,GAO Hongjun,LI Haibo,LYU Xiaodong,LIU Youbo,LIU Junyong.Fault Section Location in Distribution Network Based on Sparse Representation[J].Shanxi Electric Power,2021,0(10):8-15,96.
Authors:YANG Rui  GAO Hongjun  LI Haibo  LYU Xiaodong  LIU Youbo  LIU Junyong
Affiliation:(1. College of Electrical Engineering,Sichuan University,Chengdu 610065,China;2. Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610042, China)
Abstract:The paper proposes a fault location algorithm based on sparse representation, which only needs a little voltage amplitude information before and after the fault. The fault current vector is reconstructed through the fault node voltage equation, and the specific location of the fault in the network is determined according to the location of the non-zero element of the vector. Furthermore, a solution algorithm for reconstructing sparse vector is proposed. Two kinds of constraints are imposed in the positioning algorithm to reduce the solution space. In order to avoid the difficulties caused by nonlinear constraints in the constraints, the original problem is decomposed into multiple subproblems to achieve the purpose of the solution. The simulation in IEEE 33-node distribution system shows that the method only needs six measuring points to effectively locate the fault, is basically not affected by the fault type and transition resistance, and has strong noise resistance.
Keywords:distribution network  sparse representation  fault section location
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