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Transient Fault Detection and Location in Power Distribution Network: A Review of Current Practices and Challenges in Malaysia

Author

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  • Saidatul Habsah Asman

    (Institute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia)

  • Nur Fadilah Ab Aziz

    (Institute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia)

  • Ungku Anisa Ungku Amirulddin

    (Institute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia)

  • Mohd Zainal Abidin Ab Kadir

    (Advanced Lightning, Power and Energy Research (ALPER), Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia)

Abstract

An auto-restoration tool to minimize the impact of faults is one of the critical requirements in a power distribution system. A fault-monitoring system is needed for practical remote supervision to identify faults and reduce their impacts, and thus reduce economic losses. An effective fault-monitoring system is beneficial to improve the reliability of a protection system when faults evolve. Therefore, fault monitoring could play an important role in enhancing the safety standards of systems. Among the various fault occurrences, the transient fault is a prominent cause in Malaysia power systems but gains less attention due to its ability of self-clearance, although sometimes it unnecessarily triggers the operation of protection systems. However, the transient fault is an issue that must be addressed based on its effect that can lead to outages and short-circuits if prolonged. In this study, the authors summarize the guidelines and related standards of fault interaction associated with a monitoring system. The necessity of transient fault detection and location techniques and their limitations, the need for signal processing, as well as recommended practices, are also discussed in this paper. Some of the practices from local power utility are also shared, indicating the current approaches, key challenges, and the opportunities for improvement of fault-monitoring systems due to transient fault, which can be correlated with the reviews provided.

Suggested Citation

  • Saidatul Habsah Asman & Nur Fadilah Ab Aziz & Ungku Anisa Ungku Amirulddin & Mohd Zainal Abidin Ab Kadir, 2021. "Transient Fault Detection and Location in Power Distribution Network: A Review of Current Practices and Challenges in Malaysia," Energies, MDPI, vol. 14(11), pages 1-37, May.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:2988-:d:559355
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    References listed on IDEAS

    as
    1. Ibrahim, Muhammad Sohail & Dong, Wei & Yang, Qiang, 2020. "Machine learning driven smart electric power systems: Current trends and new perspectives," Applied Energy, Elsevier, vol. 272(C).
    2. Li, B. & Delpha, C. & Diallo, D. & Migan-Dubois, A., 2021. "Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Ben Youssef, Ahlem & Khojet El Khil, Sejir & Slama Belkhodja, Ilhem, 2017. "Open-circuit fault diagnosis and voltage sensor fault tolerant control of a single phase pulsed width modulated rectifier," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 234-252.
    4. Shariatinasab, Reza & Kermani, Behzad & Gholinezhad, Javad, 2019. "Transient modeling of the wind farms in order to analysis the lightning related overvoltages," Renewable Energy, Elsevier, vol. 132(C), pages 1151-1166.
    5. Khokhar, Suhail & Mohd Zin, Abdullah Asuhaimi B. & Mokhtar, Ahmad Safawi B. & Pesaran, Mahmoud, 2015. "A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1650-1663.
    6. Ahmad, Salsabila & Kadir, Mohd Zainal Abidin Ab & Shafie, Suhaidi, 2011. "Current perspective of the renewable energy development in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 897-904, February.
    7. Gururajapathy, S.S. & Mokhlis, H. & Illias, H.A., 2017. "Fault location and detection techniques in power distribution systems with distributed generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 949-958.
    8. Hosseini, Seyed Amir & Abyaneh, Hossein Askarian & Sadeghi, Seyed Hossein Hesamedin & Razavi, Farzad & Nasiri, Adel, 2016. "An overview of microgrid protection methods and the factors involved," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 174-186.
    9. Ghanbari, T. & Farjah, E. & Naseri, F. & Tashakor, N. & Givi, H. & Khayam, R., 2018. "Solid-State Capacitor Switching Transient Limiter based on Kalman Filter algorithm for mitigation of capacitor bank switching transients," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 1069-1081.
    10. Sidik, Muhammad Abu Bakar & Shahroom, Hamizah Binti & Salam, Zainal & Buntat, Zokafle & Nawawi, Zainuddin & Ahmad, Hussein & Jambak, Muhammad ’Irfan & Arief, Yanuar Zulardiansyah, 2015. "Lightning monitoring system for sustainable energy supply: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 710-725.
    11. Jun Yin Lee & Renuga Verayiah & Kam Hoe Ong & Agileswari K. Ramasamy & Marayati Binti Marsadek, 2020. "Distributed Generation: A Review on Current Energy Status, Grid-Interconnected PQ Issues, and Implementation Constraints of DG in Malaysia," Energies, MDPI, vol. 13(24), pages 1-40, December.
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    Cited by:

    1. Mojgan Hojabri & Severin Nowak & Antonios Papaemmanouil, 2023. "ML-Based Intermittent Fault Detection, Classification, and Branch Identification in a Distribution Network," Energies, MDPI, vol. 16(16), pages 1-15, August.

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