Multiple Power Quality Disturbances Detection and Classification with Fluctuations of Amplitude and Decision Tree Algorithm
Electrical engineering(2022)
摘要
Recently, power quality (PQ) researches have attracted great remarks by increasing the PQ issues in power systems. In the current study, a new and straightforward classification method of PQ events such as voltage sag, voltage swell, voltage interruption, voltage flicker, voltage harmonics, and voltage sag with harmonics, voltage swell with harmonics, and voltage interruption with harmonics is presented and investigated. The dataset for synthesizing the PQ events is produced in MATLAB R2016a software. Three classifiers, such as K-nearest neighbors’, support vector machine, and decision tree (DT) algorithms, are utilized to recognize the PQ events categories. Moreover, the calculated results show that the DT algorithm is more capable and accurate in classifying the different varieties of PQ events.
更多查看译文
关键词
Hybrid power systems,Power quality disturbances,Accuracy,K-nearest neighbors’,Support vector machine,Decision tree
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要