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Techniques to Locate the Origin of Power Quality Disturbances in a Power System: A Review

Author

Listed:
  • Raquel Martinez

    (Departamento de Ingeniería Eléctrica y Energética, Universidad de Cantabria, 39005 Santander, Spain)

  • Pablo Castro

    (Departamento de Ingeniería Eléctrica y Energética, Universidad de Cantabria, 39005 Santander, Spain)

  • Alberto Arroyo

    (Departamento de Ingeniería Eléctrica y Energética, Universidad de Cantabria, 39005 Santander, Spain)

  • Mario Manana

    (Departamento de Ingeniería Eléctrica y Energética, Universidad de Cantabria, 39005 Santander, Spain)

  • Noemi Galan

    (Fundación CIRCE, 50018 Zaragoza, Spain)

  • Fidel Simon Moreno

    (Fundación CIRCE, 50018 Zaragoza, Spain)

  • Sergio Bustamante

    (Departamento de Ingeniería Eléctrica y Energética, Universidad de Cantabria, 39005 Santander, Spain)

  • Alberto Laso

    (Departamento de Ingeniería Eléctrica y Energética, Universidad de Cantabria, 39005 Santander, Spain)

Abstract

The complexity in the power system topology, together with the new paradigm in generation and demand, make achieving an adequate level of supply quality a complicated goal for distribution companies. The electrical system power quality is subject to different regulations. On one hand, EN-50160 establishes the characteristics of the voltage supplied by public electricity networks, therefore affecting distribution companies. On the other hand, the EN-61000 series of standards regulates the electromagnetic compatibility of devices connected to the network, therefore affecting the loads. Power companies and device manufacturers are both responsible and affected in the issue of quality of supply. Despite the regulations, there are certain aspects of the supply quality that are not solved. One of the most important is the location of the disturbance’s origin. This paper presents a review of the main techniques to locate the disturbance’s origin in the electric network through two approaches: identification of the disturbance’s cause and the location of the origin.

Suggested Citation

  • Raquel Martinez & Pablo Castro & Alberto Arroyo & Mario Manana & Noemi Galan & Fidel Simon Moreno & Sergio Bustamante & Alberto Laso, 2022. "Techniques to Locate the Origin of Power Quality Disturbances in a Power System: A Review," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7428-:d:841303
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    References listed on IDEAS

    as
    1. Nantian Huang & Shuxin Zhang & Guowei Cai & Dianguo Xu, 2015. "Power Quality Disturbances Recognition Based on a Multiresolution Generalized S-Transform and a PSO-Improved Decision Tree," Energies, MDPI, vol. 8(1), pages 1-24, January.
    2. Hamed Jafari Kaleybar & Morris Brenna & Federica Foiadelli & Seyed Saeed Fazel & Dario Zaninelli, 2020. "Power Quality Phenomena in Electric Railway Power Supply Systems: An Exhaustive Framework and Classification," Energies, MDPI, vol. 13(24), pages 1-35, December.
    3. David Lumbreras & Eduardo Gálvez & Alfonso Collado & Jordi Zaragoza, 2020. "Trends in Power Quality, Harmonic Mitigation and Standards for Light and Heavy Industries: A Review," Energies, MDPI, vol. 13(21), pages 1-24, November.
    4. Wang, Shouxiang & Chen, Haiwen, 2019. "A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network," Applied Energy, Elsevier, vol. 235(C), pages 1126-1140.
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    Citations

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    Cited by:

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    2. Younis M. Nsaif & Molla Shahadat Hossain Lipu & Aini Hussain & Afida Ayob & Yushaizad Yusof & Muhammad Ammirrul A. M. Zainuri, 2022. "A Novel Fault Detection and Classification Strategy for Photovoltaic Distribution Network Using Improved Hilbert–Huang Transform and Ensemble Learning Technique," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    3. Zakarya Oubrahim & Yassine Amirat & Mohamed Benbouzid & Mohammed Ouassaid, 2023. "Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review," Energies, MDPI, vol. 16(6), pages 1-41, March.
    4. Sally E. Abdel Mohsen & Ahmed M. Ibrahim & Z. M. Salem Elbarbary & Ahmed I. Omar, 2023. "Unified Power Quality Conditioner Using Recent Optimization Technique: A Case Study in Cairo Airport, Egypt," Sustainability, MDPI, vol. 15(4), pages 1-23, February.

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