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A Review on Intelligent Detection and Classification of Power Quality Disturbances:Trends,Methodologies,and Prospects
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作者 yanjun yan Kai Chen +2 位作者 Hang Geng Wenqian Fan Xinrui Zhou 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第11期1345-1379,共35页
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 prominent.It is well acknowledged that the PQD ... 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 prominent.It 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 grids.In order to ensure safe and reliable equipment implementation,appropriate PQDdetection technologiesmust be adopted to avoid such adverse effects.This 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 presented.Finally,comments on the future evolution of PQD detection techniques are given.Unlike 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. 展开更多
关键词 Power quality disturbance renewable energy feature extraction and optimization intelligent classification signal processing smart grids
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