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Research on Fault Location Based on Improved Romp Algorithm for Compressed Sensing in Distribution Network

机译：基于改进的Romp算法的配电网压缩感知故障定位研究

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摘要

The structure of distribution network is complex and has many branches. At the same time, with the increasing proportion of distributed power in the distribution network, the traditional fault location method has been difficult to take into account the cost and accuracy of the method. In this paper, a fault location algorithm based on sparse measurement points is proposed. From the perspective of negative sequence injection current, the mapping relationship between compression sensing theory and distribution network fault location problem is established. The negative sequence node voltage after fault is calculated by fuzzy power flow calculation method, and the base matrix is constructed. The limited isometric property of the sensing matrix is analyzed, and an improved ROMP algorithm is proposed to reconstruct the current signal. A distribution system with multiple distributed power sources is built and simulated in the ieee-33 node distribution system. The simulation results show that compared with the traditional method, the algorithm proposed in this paper has stronger ability to withstand transition resistance and noise, higher accuracy of fault location and better real-time performance.
机译：配电网络的结构复杂，分支机构众多。同时，随着配电网中配电功率比例的增加，传统的故障定位方法已经难以兼顾该方法的成本和准确性。提出了一种基于稀疏测量点的故障定位算法。从负序注入电流的角度出发，建立了压缩感知理论与配电网故障定位问题之间的映射关系。通过模糊潮流计算法计算出故障后的负序节点电压，并建立基本矩阵。分析了感测矩阵的有限等距特性，提出了一种改进的ROMP算法来重构电流信号。在ieee-33节点配电系统中构建并模拟了具有多个分布式电源的配电系统。仿真结果表明，与传统方法相比，本文提出的算法具有更强的抵御过渡电阻和噪声的能力，更高的故障定位精度和更好的实时性。

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