基于电场的高压输电线的状态监测系统的研究

发布时间：2018-04-16 12:03

本文选题：高压输电线 + 故障诊断　；参考：《昆明理工大学》2017年硕士论文

【摘要】：高压输电线作为整个电力能源系统中的重要组成部分,其工作状态的稳定与否直接关乎整个电力能源系统的稳定与否。本文主要研究一种针对架空高压输电线的工作状态进行实时的监控并希望做到及时的故障诊断和预知性维修的系统,达到提高电力能源系统的稳定的目的。电场是电力设备周围的一个重要电器参量,基于输电线周围的电场对输电线的状态监测故障诊断的研究相对薄弱,而其对电力设备的保护确有一定意义。经过理论仿真和实验验证:高压输电线周围的电场在高压输电线运行的各种状态下,其周围的电场分布有着一定的规律可循。故此本文通过监测高压输电线周围的电场来对高压输电线的运行状态进行监测,来达到非接触式的对架空高压输电线的运行状态进行监测。本文运用模拟电荷法建立架空高压输电线周围的二维电场模型并对高压输电线各种缺相运行状态下的二维电场分布进行仿真研究,得出基于高压输电线周围的电场来对高压输电线运行状态进行故障诊断的可行性;研究建立了 ZigBee星型电场网络,该采集网络能够实时的采集高压输电线下多个点处的电场并发送到上位机,上位机用LabVIEW建立了电场数据接收分类处理系统,能够对接受到的电场数据根据采集终端节点的不同进行分类。最后采用支持向量机(SVM)对高压输电线的故障进行诊断分类,并将台湾大学的林智仁(Lin Chih-Jen)副教授开发出了 LIBSVM移植到电场分类系统中,用来实时的对高压输电线进行故障诊断分类。通过仿真实验研究基于电场的高压输电线的故障诊断具有一定的可行性,至少需要在高压输电线下布置七个电场采集点支持向量机才能够做到很好的对高压输电线的缺相故障进行诊断分类。本文为基于高压输电线的周围的电气特性来对高压输电线故障诊断奠定了基础,同时为高压输电线的故障诊断技术方面引入了支持向量机的故障分类技术等。
[Abstract]:As an important part of the whole power energy system, the stability of the high voltage transmission line is directly related to the stability of the whole power energy system.This paper focuses on a real-time monitoring system for overhead HV transmission lines and hopes to achieve timely fault diagnosis and predictive maintenance so as to improve the stability of the power system.Electric field is an important electrical parameter around power equipment. The research on fault diagnosis of power line condition monitoring based on electric field around transmission line is relatively weak, but its protection for power equipment has certain significance.After theoretical simulation and experimental verification: the electric field around the high-voltage transmission line in various states, the distribution of the electric field around the high-voltage transmission line has a certain law to follow.So this paper monitors the running state of the high voltage transmission line by monitoring the electric field around the high voltage transmission line in order to achieve the non-contact monitoring of the running state of the overhead high voltage transmission line.In this paper, the two dimensional electric field model around overhead high voltage transmission line is established by using the method of simulated charge, and the two dimensional electric field distribution of high voltage transmission line under various states of lacking phase is simulated.The feasibility of fault diagnosis of high voltage transmission line based on the electric field around the high voltage transmission line is obtained, and the ZigBee star electric field network is established.The collection network can collect the electric field at several points under the high voltage transmission line in real time and send it to the upper computer. The upper computer uses LabVIEW to set up the electric field data receiving and classifying processing system.The electric field data can be docked according to the different nodes of the collection terminal.Finally, support vector machine (SVM) is used to diagnose and classify the faults of high voltage transmission lines, and an associate professor Lin Zhiren Lin Chih-Jenn of Taiwan University has developed an LIBSVM transplant system to the electric field classification system.It is used for fault diagnosis and classification of high voltage transmission lines in real time.It is feasible to study the fault diagnosis of high voltage transmission line based on electric field through simulation experiment.At least seven electric field acquisition points need to be arranged under the HV transmission line to be able to diagnose and classify the fault of HV transmission line.This paper lays a foundation for fault diagnosis of HV transmission lines based on the electrical characteristics around HV transmission lines, and introduces the fault classification technology of support vector machine (SVM) for fault diagnosis of HV transmission lines.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM75

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