A Review on Intelligent Detection and Classification of Power Quality Disturbances:Trends,Methodologies,and Prospects
作者机构：School of Automation EngineeringUniversity of Electronic Science and Technology of ChinaChengdu611731China
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2023年第137卷第11期
页 面：1345-1379页
核心收录：
学科分类：08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Power quality disturbance renewable energy feature extraction and optimization intelligent classification signal processing smart grids
摘 要：With increasing global concerns about clean energy in smart grids,the detection of power quality disturbances(PQDs)caused by energy instability is becoming more and more *** is well acknowledged that the PQD effects on power grid equipment are destructive and hazardous,which causes irreversible damage to underlying electrical/electronic equipment of the concerned intelligent *** order to ensure safe and reliable equipment implementation,appropriate PQDdetection technologiesmust be adopted to avoid such adverse *** paper summarizes the newly proposed and traditional PQD detection techniques in order to give a quick start to new researchers in the related field,where specific scenarios and events for which each technique is applicable are also clearly ***,comments on the future evolution of PQD detection techniques are *** the published review articles,this paper focuses on the new techniques from the last five years while providing a brief recap on traditional PQD detection techniques so as to supply researchers with a systematic and state-of-the-art review for PQD detection.
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