摘要目前，社会经济快速发展，城市规模不断扩大，城市轨道交通已普及到了许多城市，并以其便捷、载客量大等优点，成为城市的交通命脉。轨道交通供电系统作为轨道交通运行的动力基础，其安全可靠性需要深刻重视。电能从牵引变电所经馈电线、接触网输送给机车，再从机车经钢轨、回流线流回变电所，供电系统运行条件苛刻且无备用，一旦发生故障，会影响整个城市轨道交通运营的质量，造成损失和混乱。81146

本文对多种优化算法进行分析，提出了更适用于轨道交通供电系统的一种结合“交叉”操作及保留最优解的改进二进制粒子群算法。这种算法加快了粒子群的收敛速度，很好地完善传统粒子群算法中易出现的局部收敛方面的不足，在实际轨道供电系统故障定位中很好地展现了其快速、准确的优点。同时本文考虑了单端与多端供电系统两种情况，并且通过MATLAB进行仿真验证。

该论文有图12幅，表6个，参考文献30篇。

毕业论文关键词：轨道交通供电系统  二进制粒子群算法  故障定位 

Research on Fault Location of Rail Transit Power Supply System

Abstract Currently, with the development of economy and the expansion of city size, urban rail transit is becoming more and more popular in many cities due to its convenience, great capacity, and so on。It has become the lifeblood of the city's traffic。 As a basis for rail transport operation，we must pay attention on the railway safety and reliability of electricity system。 Power from the traction substation through the feeder line, catenary delivered to the locomotive, and then from the locomotive back into the substation by rail, reflux lines。Power supply system operates under harsh conditions and it has no alternate line,once a fault occurs,it will affect the quality of the urban rail transit operations,loss and confusion。

In this paper, by analyzing a variety of optimization algorithm,we present a promoted binary particle swarm optimization algorithm for fault location in subway power system combined with cross-operation and retain-operation。This algorithm speeds up the convergence and is efficient to overcoming the shortages of local convergence by the traditional algorithm。At the same time,the improved algorithm shows the advantages of its high speed and accuracy。 In addition,we consider both the single-ended and multi-terminal power supply system in both cases,and verify the feasibility in MATLAB simulation。

Key Words: transportation power supply system  fault location

binary particle swarm optimization 

目  录

摘要Ⅰ

Abstract-Ⅱ

目录Ⅲ

图清单-Ⅳ

表清单-Ⅳ

1 绪论-1

1。1课题研究背景及意义1

1。2国内外研究现状2

1。3本文主要工作 3

2 城市轨道交通供电系统 -4

2。1城市轨道交通供电系统概述-4

2。2城市轨道交通流牵引供电系统5

2。3牵引供电系统故障概述-7

3 粒子群算法9

3。1粒子群算法介绍 9

3。2二进制粒子群13

4 改进的BPSO在轨道交通直流牵引供电系统中的应用15

4。1改进的BPSO在轨道交通单端供电系统中的应用-16

4。2改进的BPSO在轨道交通多端供电系统中的应用19

4。3直流牵引供电系统故障定位的精确化21

4。4改进粒子群算法在轨道交通多端供电系统中的故障定位26

5 总结与展望31

5。1本文总结31

5。2未来工作展望32

参考文献40

致谢42

图清单

图序号 图名称