IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i12p7428-d841303.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/12/7428/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/12/7428/
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mingang Tan & Chaohai Zhang & Bin Chen, 2022. "Size Estimation of Bulk Capacitor Removal Using Limited Power Quality Monitors in the Distribution Network," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Igual, R. & Medrano, C., 2020. "Research challenges in real-time classification of power quality disturbances applicable to microgrids: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    2. 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.
    3. Julio Barros, 2022. "New Power Quality Measurement Techniques and Indices in DC and AC Networks," Energies, MDPI, vol. 15(23), pages 1-3, December.
    4. Mihaela Popescu & Alexandru Bitoleanu & Mihaita Linca & Constantin Vlad Suru, 2021. "Improving Power Quality by a Four-Wire Shunt Active Power Filter: A Case Study," Energies, MDPI, vol. 14(7), pages 1-20, April.
    5. Mohamed Maher & Shady H. E. Abdel Aleem & Ahmed M. Ibrahim & Adel El-Shahat, 2022. "Novel Mathematical Design of Triple-Tuned Filters for Harmonics Distortion Mitigation," Energies, MDPI, vol. 16(1), pages 1-22, December.
    6. Nantian Huang & Hua Peng & Guowei Cai & Jikai Chen, 2016. "Power Quality Disturbances Feature Selection and Recognition Using Optimal Multi-Resolution Fast S-Transform and CART Algorithm," Energies, MDPI, vol. 9(11), pages 1-21, November.
    7. Krzysztof Lowczowski & Jaroslaw Gielniak & Zbigniew Nadolny & Magdalena Udzik, 2024. "Analysis of the Impact of Volt/VAR Control on Harmonics Content and Alternative Harmonic Mitigation Methods," Energies, MDPI, vol. 17(22), pages 1-26, November.
    8. Enrique Reyes-Archundia & Wuqiang Yang & Jose A. Gutiérrez Gnecchi & Javier Rodríguez-Herrejón & Juan C. Olivares-Rojas & Aldo V. Rico-Medina, 2024. "Effect of Phase Shifting on Real-Time Detection and Classification of Power Quality Disturbances," Energies, MDPI, vol. 17(10), pages 1-14, May.
    9. Azam Bagheri & Roger Alves de Oliveira & Math H. J. Bollen & Irene Y. H. Gu, 2022. "A Framework Based on Machine Learning for Analytics of Voltage Quality Disturbances," Energies, MDPI, vol. 15(4), pages 1-14, February.
    10. Andrej Brandis & Denis Pelin & Zvonimir Klaić & Damir Šljivac, 2022. "Identification of Even-Order Harmonics Injected by Semiconverter into the AC Grid," Energies, MDPI, vol. 15(5), pages 1-18, February.
    11. Michał Dołęgowski & Mirosław Szmajda, 2021. "A Novel Algorithm for Fast DC Electric Arc Detection," Energies, MDPI, vol. 14(2), pages 1-17, January.
    12. Tüysüz, Metin & Okumuş, Halil Ibrahim & Aymaz, Şeyma & Çavdar, Bora, 2024. "Real-time application of a demand-side management strategy using optimization algorithms," Applied Energy, Elsevier, vol. 368(C).
    13. Zahoor Ali Khan & Muhammad Adil & Nadeem Javaid & Malik Najmus Saqib & Muhammad Shafiq & Jin-Ghoo Choi, 2020. "Electricity Theft Detection Using Supervised Learning Techniques on Smart Meter Data," Sustainability, MDPI, vol. 12(19), pages 1-25, September.
    14. Andrea Mariscotti & Leonardo Sandrolini, 2021. "Detection of Harmonic Overvoltage and Resonance in AC Railways Using Measured Pantograph Electrical Quantities," Energies, MDPI, vol. 14(18), pages 1-22, September.
    15. Juliano C. L. da Silva & Thales Ramos & Manoel F. Medeiros Júnior, 2021. "Modeling and Harmonic Impact Mitigation of Grid-Connected SCIG Driven by an Electromagnetic Frequency Regulator," Energies, MDPI, vol. 14(15), pages 1-21, July.
    16. Ren, Tao & Modest, Michael F. & Fateev, Alexander & Sutton, Gavin & Zhao, Weijie & Rusu, Florin, 2019. "Machine learning applied to retrieval of temperature and concentration distributions from infrared emission measurements," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    17. Andrea Mariscotti, 2022. "Non-Intrusive Load Monitoring Applied to AC Railways," Energies, MDPI, vol. 15(11), pages 1-27, June.
    18. Artvin-Darien Gonzalez-Abreu & Roque-Alfredo Osornio-Rios & Arturo-Yosimar Jaen-Cuellar & Miguel Delgado-Prieto & Jose-Alfonso Antonino-Daviu & Athanasios Karlis, 2022. "Advances in Power Quality Analysis Techniques for Electrical Machines and Drives: A Review," Energies, MDPI, vol. 15(5), pages 1-26, March.
    19. Nicholas D. de Andrade & Ruben B. Godoy & Edson A. Batista & Moacyr A. G. de Brito & Rafael L. R. Soares, 2022. "Embedded FPGA Controllers for Current Compensation Based on Modern Power Theories," Energies, MDPI, vol. 15(17), pages 1-17, August.
    20. Lintao Yang & Honggeng Yang & Haitao Liu, 2018. "GMDH-Based Semi-Supervised Feature Selection for Electricity Load Classification Forecasting," Sustainability, MDPI, vol. 10(1), pages 1-16, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7428-:d:841303. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.