A comprehensive exploration of IoT-enabled smart grid systems: power quality issues, solutions, and challenges

被引:0
|
作者
Tabassum, Saleha [1 ,2 ]
Babu, Attuluri R. Vijay [1 ]
Dheer, Dharmendra Kumar [3 ]
机构
[1] Vignans Fdn Sci Technol & Res, Dept Elect & Elect Engn, Guntur 522213, Andhra Pradesh, India
[2] KSRM Coll Engn, Dept Elect & Elect Engn, Kadapa 516003, Andhra Pradesh, India
[3] Natl Inst Technol, Dept Elect Engn, Patna 800005, Bihar, India
关键词
Artificial intelligence; Cloud computing; Data analytics; Edge computing; IoT; Machine learning; Power quality; Smart grid; ARTIFICIAL-INTELLIGENCE; MANAGEMENT; ANALYTICS;
D O I
10.2516/stet/2024056
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The potential for Internet of Things (IoT) technology to transform energy management has led to significant interest in its incorporation into smart grid systems. This review discusses the state of IoT-powered smart grids today, focusing on applications, current technology, and power quality (PQ) issues. Key problems including harmonics, transients, and voltage fluctuations are identified, and mitigation techniques using sophisticated filters and intelligent systems like fuzzy logic control (FLC) and artificial neural networks (ANN) are investigated. Concerns about interoperability and scalability are among the other challenges the review lists for IoT implementation. The revolutionary potential of IoT in improving smart grid efficiency and dependability is highlighted in our findings, which provide valuable insights for scholars and practitioners seeking to develop this sector.
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收藏
页数:18
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