Power Quality Disturbances: A review of Detection, Classification, Optimization, and Mitigation Techniques

Authors

  • Bouchra Feriel KHALDI laboratory of signals and systems
  • Fatma Zohra DEKHANDJI
  • Abdelmadjid RECIOUI

DOI:

https://doi.org/10.51485/ajss.v9i4.243

Keywords:

Power Quality;, PQ disturbances; Detection; Classification; SP techniques; Neural Networks; Mitigation; Power system; Renewable energies; smart grid

Abstract

Abstract: Power quality (PQ) plays an important role in ensuring the smooth operation of power systems. PQ disturbances may cause significant consequences, impacting the reliability and efficiency of power networks. This paper presents a comprehensive review of PQ within smart grids and the integration of renewable energy sources. Methods of detecting, classifying, optimizing, and mitigating PQ events are reviewed with providing a brief theoretical explanation for each technique. Related work done in the past two decades, was conducted, presenting a clear view of the development of research in a chronological order serving as a guide for future investigations in this field of study.

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Published

2024-12-30

How to Cite

[1]
KHALDI, B.F., DEKHANDJI, F.Z. and RECIOUI, A. 2024. Power Quality Disturbances: A review of Detection, Classification, Optimization, and Mitigation Techniques. Algerian Journal of Signals and Systems . 9, 4 (Dec. 2024), 261-286. DOI:https://doi.org/10.51485/ajss.v9i4.243.

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Section

Articles