Yanjun Yan, Kai Chen*, Hang Geng, Wenqian Fan, Xinrui Zhou
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1345-1379, 2023, DOI:10.32604/cmes.2023.027252
Abstract 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 PQD detection technologies must 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… More >
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