| 引用本文: | 高 兴,王晓东,刘颖明.基于稀疏信息差值的集电线路故障精准定位方法[J].电力系统保护与控制,2024,52(17):85-93.[点击复制] |
| GAO Xing,WANG Xiaodong,LIU Yingming.Accurate fault location of collecting lines based on sparse information difference[J].Power System Protection and Control,2024,52(17):85-93[点击复制] |
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| 摘要: |
| 针对集电线路多分支网络结构故障定位过程时精度易受测点数量和行波波速影响的问题，提出一种基于稀疏信息差值的集电线路故障定位方法。按照集电线路划分故障区域。首先，通过变分模态分解从初始行波信号中提取第一本征模函数信号，并通过Stockwell变换将其进一步分解为S矩阵。然后，通过S矩阵计算其模矩阵Q，并计算所有模矩阵之间的能量相似性，建立区域决策矩阵来识别故障区域。最后，在确定的故障区域内设置虚拟故障点，根据故障区域首末端初始行波到达时间，计算测量行波和虚拟故障点之间的信息差异度，采用离散-连续粒子群实时修正故障分支和故障位置。仿真结果表明，该方法无需集电线路所有分支行波信息，大幅降低监测设备数量，消除波速影响，实现多分支集电线路的精准故障定位。 |
| 关键词: 风电场 集电线路 行波法 故障定位 Stockwell变换 |
| DOI：10.19783/j.cnki.pspc.240233 |
| 投稿时间：2024-03-01修订日期：2024-05-21 |
| 基金项目:国家自然科学基金项目资助(52007124)；辽宁省揭榜挂帅科技攻关专项资助(2021JH1/10400009) |
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| Accurate fault location of collecting lines based on sparse information difference |
| GAO Xing,WANG Xiaodong,LIU Yingming |
| (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China) |
| Abstract: |
| A fault location method for collector lines based on sparse information difference is proposed to address the issue of accuracy being easily affected by the number of measurement points and traveling wave speed during the fault location process of multi branch network structures in collector lines. The fault area is divided according to the collector line. First, this paper extracts the first intrinsic mode function signal from the initial traveling wave signal through variational mode decomposition, and further decomposes it into an S matrix through the Stockwell transform. Then, the modulus matrix Q is calculated through the matrix S, and the energy similarity between all modulus matrices is calculated to establish a regional decision matrix to identify the fault area. Finally, a virtual fault point is set within the determined fault area. Based on the initial arrival time of the traveling waves at the beginning and end of the fault area, the information difference between the measured traveling waves and the virtual fault point is calculated. Discrete-continuous particle swarm optimization is used to simultaneously correct the fault branch and fault location. The simulation results show that this method does not require traveling wave information from all branches of the collector line, significantly reduces the number of monitoring devices, eliminates the influence of wave speed, and achieves accurate fault localization of multi branch collector lines. |
| Key words: wind farms collecting line traveling wave method fault location Stockwell transformation |
