摘要
社会经济的发展对快速找出故障源并采取相应措施提出了更高的要求。首先提出了一种基于D-PMU信息和Petri网的有源配电网故障诊断方法,基于多点D-PMU的高频全采样和配合故障信息数据,提取所分析时刻的故障特征向量,并通过可疑故障元件库和故障诊断模型,采用Petri网技术进行故障诊断,获得故障状态。然后考虑实际电网中保护动作具体形式和整定配合原则,给出了基于有源配电网的故障特征获取元件故障模型以及拒动、误动的判定规则的方法,所提方法能够应用于有源配电网,同时简化了网络分析过程,实现了故障诊断速度的提高。最后对某高压配电网进行算例分析,检验了所述方法的可行性。
The development of society and economy has put forward higher requirements for finding out fault sources quickly and taking the corresponding measures. In the paper,a fault diagnosis method for active power distribution network based on distributed phasor measurement unit(D-PMU)information and Petri net is proposed,which extracts the fault characteristic vector at the time of analysis on the basis of high-frequency full sampling data of multi-point DPMUs and through the coordination with the fault information. By means of the suspicious fault component library and the fault diagnosis model,the Petri net technology is adopted for fault diagnosis to obtain the fault state. Considering the specific form of protection action and the principle of setting coordination in an actual power network,a fault model of fault feature acquisition element based on active power distribution network is presented. In addition,the determination rules for rejection and maloperation are also provided. This method can be applied to active power distribution network,simplify the process of network analysis,and improve the speed of fault diagnosis. Finally,a high-voltage distribution network is taken as an example,and the analysis result verifies the feasibility of the proposed method.
作者
张黎元
黄潇潇
张杰
徐勇
孔祥玉
ZHANG Liyuan;HUANG Xiaoxiao;ZHANG Jie;XU Yong;KONG Xiangyu(City West Power Supply Branch,State Grid Tianjin Electric Power Company,Tianjin 300190,China;Electric Power Research Institute,State Grid Tianjin Electric Power Company,Tianjin 300384,China;State Grid Tianjin Electric Power Company,Tianjin 300010,China;Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2019年第10期145-150,共6页
Proceedings of the CSU-EPSA
基金
国网天津电力公司科技资助项目（SGTJCX00DKJS1801022）
