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      Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

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      Energies
      MDPI AG

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          Abstract

          Several factors affect existing electric power systems and negatively impact power quality (PQ): the high penetration of renewable and distributed sources that are based on power converters with or without energy storage, non-linear and unbalanced loads, and the deployment of electric vehicles. In addition, the power grid needs more improvement in the performances of real-time PQ monitoring, fault diagnosis, information technology, and advanced control and communication techniques. To overcome these challenges, it is imperative to re-evaluate power quality and requirements to build a smart, self-healing power grid. This will enable early detection of power system disturbances, maximize productivity, and minimize power system downtime. This paper provides an overview of the state-of-the-art signal processing- (SP) and pattern recognition-based power quality disturbances (PQDs) characterization techniques for monitoring purposes.

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                Author and article information

                Contributors
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                Journal
                ENERGA
                Energies
                Energies
                MDPI AG
                1996-1073
                March 2023
                March 13 2023
                : 16
                : 6
                : 2685
                Article
                10.3390/en16062685
                4788b5e4-97bc-4715-a79b-deecacb0b10c
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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