基于分层理论的电网故障诊断及脆弱性评估方法研究

发布时间：2018-04-26 08:08

本文选题：大规模电网 + 故障诊断　；参考：《东北大学》2014年硕士论文

【摘要】：随着电力系统规模的不断扩大和电力负荷的持续增长,电力系统的结构也日益复杂。一旦电力系统发生故障,要准确的分析和判断故障位置、性质以及准时的排除故障,是一件非常困难的事情。为了提高电力系统的可靠性与安全性,当电网发生故障或扰动时,仍能保持电网正常运行,防止大规模停电事故的发生,且在自然灾害、极端气候条件或外力破坏情况下仍能保证电网安全、稳定地运行。因此采用的基于分层理论的大规模电网故障诊断研究具有十分重要的意义。针对大规模电网中存在的结构复杂性、运行状态多变性,电网故障信息量大、故障诊断的复杂性,以及故障诊断的速度和精度难以保证等问题,论文做出了如下工作：首先,论文分析了数据采集与监控系统、综合调度数据平台、广域量测系统、继电保护信息系统等多个监控系统的在电网故障诊断的作用和地位,这些数据平台为电网故障诊断提供了各种电气量信息、开关与保护信息等故障诊断的关键信息数据,这为电网的分层的故障诊断提供了数据来源。其次,论文提出了基于图论的电网分层方法并针对电网脆弱性进行评估,考虑到电网拓扑的实际情况,根据图论的最优化问题,对大规模电网的拓扑图中的节点构造Laplace矩阵,应用Fiedler向量方法对大规模电网的节点间进行划分；论文还提出了以大规模电网中节点的电压、频率、相角的关联度值为优化对象,根据模糊C-均值的方法,对大规模电网进行分层。通过这种方法可以将大规模电网分割成若干区域,这样就可以针对每个小区域进行故障诊断。能够把复杂的问题进行相对简单化处理,降低了故障诊断的难度,提高故障诊断的效率。最后,对大规模电力系统进行脆弱性评估,通过简化电力系统的脆弱性传播模型和分析电力系统的脆弱源和传播方向,再根据给定的节点电压以及相角阈值指标进行分析,有效的反映了电力系统脆弱性的重要性。为电力系统的故障诊断提供了理论基础。
[Abstract]:With the continuous expansion of the scale of the power system and the continuous increase of the power load, the structure of the power system is increasingly complex. Once the power system fails, it is a very difficult thing to accurately analyze and judge the fault location, the nature and the punctual troubleshooting. It is a very difficult thing to improve the reliability and safety of the power system. In the case of failure or disturbance, the network can still maintain the normal operation of the power grid to prevent the occurrence of large-scale power outage accidents, and can still ensure the safety of the power grid and run steadily in the case of natural disasters, extreme weather conditions or external force damage. Therefore, the study on the fault diagnosis of large-scale power grid based on the stratification theory is of great significance. This paper makes the following work on the complexity of the structure of the large-scale power grid, the variability of the running state, the large amount of fault information, the complexity of fault diagnosis and the difficulty of ensuring the speed and precision of the fault diagnosis. The function and status of multiple monitoring systems such as relay protection information system in power grid fault diagnosis, these data platforms provide all kinds of electrical information, switch and protection information and other key information data for fault diagnosis of power network fault diagnosis, which provide data sources for fault diagnosis of grid. Secondly, the paper puts forward the paper. Based on the graph theory, the grid vulnerability is evaluated. Considering the actual situation of the power network topology, according to the optimization problem of the graph theory, the Laplace matrix is constructed for the nodes in the topology map of the large-scale power grid, and the Fiedler vector method is used to divide the nodes of the large grid. The correlation degree of the voltage, frequency and phase angle of the node in the model grid is the optimization object. According to the method of fuzzy C- mean, the large-scale grid is stratified. By this method, the large-scale power grid can be divided into several regions, so that the fault diagnosis can be carried out for each area. The complex problems can be relatively simple. The difficulty of fault diagnosis is reduced and the efficiency of fault diagnosis is improved. Finally, the vulnerability assessment of large scale power system is evaluated by simplifying the vulnerability propagation model of the power system and analyzing the fragile source and propagation direction of the power system, and then analyzing the given node electrical pressure and the threshold value of the phase angle. The importance of power system vulnerability is provided, which provides a theoretical basis for fault diagnosis of power system.

【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM732

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