摘要
为提高配电网保护动作信息丢失时故障诊断的准确率及容错性,提出了基于改进的方向性加权模糊Petri网配电网故障诊断方法。首先,考虑故障发生时近后备保护对可疑故障元件故障诊断的影响,对可疑故障元件的各个故障蔓延方向进行建模;其次,在专家经验的基础上采用随机数对模型输入权值进行随机赋值;最后,在保护动作信息丢失时,跟踪改变可疑故障元件保护未动作的可信度取值,并分析该故障诊断方法的适应性与容错性。仿真结果表明,所提基于改进的方向性加权模糊Petri网配电网故障诊断模型在信息不完备或者保护及断路器拒动时,均具有较高的故障诊断准确率。
To improve both fault diagnosis accuracy and fault tolerance of protective relaying for distribution network under the lost of protection action information,a distribution network fault diagnosis method based on improved directional-weighted fuzzy Petri net was proposed.Firstly,considering the impact of near-backup protection on the diagnosis of suspected fault components during the occurance of the fault,the modeling for each fault spreading direction of suspected fault components was conducted.Secondly,on the basis of expert experience the random number was utilized to perform the random assignment of the input weight of the model.Finally,when protection action information was lost,the confidence value of not-acted suspected fault components was tracked and changed,and the adaptability and fault tolerance of the fault diagnosis method were analyzed.Simulation results show that the proposed distribution network fault diagnosis model based on improved directionality weighted fuzzy Petri net possesses higher fault diagnosis accuracy under incomplete information or rejection of protection and circuit breakers.
作者
闫丽梅
徐伟丽
徐建军
YAN Limei;XU Weili;XU Jianjun(School of Electrical and Information Engineering,Northeast Petroleum University,Daqing 163318,Heilongjiang Province,China)
出处
《现代电力》
北大核心
2023年第3期399-407,共9页
Modern Electric Power
基金
黑龙江省科学基金资助项目(LH2019E016)。
关键词
配电网
故障诊断
方向性加权模糊Petri网
容错性
distribution network
fault diagnosis
directionality weighted fuzzy Petri net
fault tolerance
作者简介
闫丽梅(1971),女,教授,博士生导师,研究方向为传统电力系统故障诊断、新能源并网、电动汽车并网,E-mail:565735794@qq.com;徐伟丽(1998),女,硕士研究生,研究方向为传统电力系统故障诊断,E-mail:xu15560193997@163.com;通信作者:徐建军(1971),男,博士后,博士生导师,教授,研究方向为电力系统稳定分析、智能电网技术,Email:junjianxu@163.com。
