翁月莹,陈翔宇,肖新华,许倩.基于PSO和贝叶斯分类器的配电网高阻接地故障识别技术[J].电测与仪表,2020,57(2):52-56. wengyueying,CHENXIANGYU,xiaoxinhua,xuqian.High Impedance Fault Detection Based on PSO and Bayes Classifier[J].Electrical Measurement & Instrumentation,2020,57(2):52-56.
基于PSO和贝叶斯分类器的配电网高阻接地故障识别技术
High Impedance Fault Detection Based on PSO and Bayes Classifier
This paper proposes a high impedance fault detection method based on particle swarm optimization algorithm and Bayes classifier. This method uses the discrete wavelet transform to build the time-frequency matrix about distribution network voltage and current, to extract the characteristic attribute of high impedance fault. Particle swarm optimization (PSO) is used to optimize the feature space of Bayes classifier to improve the classification accuracy and computational timeliness. The simulation and experimental results show that the classification accuracy of proposed method is more than 95%, it can effectively deal with interference factors such as insulator leakage current, the capacitor switching and nonlinear load.
