摘要随着我国经济社会的发展，人民群众和企事业单位对供电质量的要求越来越高。配电 网作为电力系统中的最后一环直接向用户提供电能，因此配电网的安全稳定运行尤其重 要。由于不可抗拒的原因，配电网的故障较为多发，因此在配电网发生故障时对故障线路 进行快速、准确的定位并处理显得越来越迫切。 79963

进入 21 世纪后，得益于配电网自动化的快速发展，SCADA 系统中 FTU 设备可以对配 电网运行状态实时监控并传输信息。利用 FTU 设备传输的故障信息并基于已经发展成熟 的优化算法中的遗传算法基本原理，可以实现配电网故障快速准确定位。本论文通过建立 合适的转换函数、适应度函数，改进选择算子等方式利用遗传算法和 FTU 信息构建配电 网故障定位系统，并使用 Matlab 软件编写该系统的算法，最后，利用 Simulink 建立单 电源辐射状配电网对定位系统进行仿真验证，检验其准确性和容错性。 

毕业论文关键词 配电网 故障定位 优化算法 遗传算法 转换函数 适应度函数

毕 业 设 计 说 明 书 外 文 摘 要

Title A Study of Distribution Network Fault Location Based on Optimization Algorithm

Abstract With the development of our country's economy and society, public and enterprises have higher and higher requirements of power supply quality。 As the last stage of the electric power system, the distribution network can provide power to users directly, for this reason, it's particularly significant to ensure the distribution network safety and security．Due to some irresistible reasons, the fault of distribution network is more than others, so it is urgent to locate and deal with the fault line quickly and accurately when the fault occurs in the distribution network。 

After entering the twenty-first Century, thanks to the rapid development of distribution network automation, FTU system in the SCADA device can monitor the status of power distribution network and send information to the control center。 Using the fault information transmitted by FTU equipment and based on the genetic algorithm in the mature optimization algorithm, the fault can be located quickly and accurately。 In this graduation thesis, I try to establish appropriate conversion function appropriate conversion function, fitness function, improved selection and other system, and using genetic algorithm and FTU information build distribution network fault location system, and algorithm of the system is compiled by MATLAB software。 The last stage is using SIMULINK to establish single supply radial distribution network the algorithm of simulation, to test the accuracy of the algorithm and fault tolerance。 

Keywords   distribution network   fault location   Optimization Algorithm Genetic Algorithm    conversion function   fitness function 

目 次

1 绪论 1

1。1 课题背景 1

1。2 国内外研究现状 1

1。3 本论文完成的主要内容 1

2 配电网与配电网自动化系统 3

2。1 配电网概述