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A Comprehensive Survey of HVDC Protection System: Fault Analysis, Methodology, Issues, Challenges, and Future Perspective

Author

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  • Abha Pragati

    (Department of Electrical Engineering, ITER, Siksha O Anusandhan University, Bhubaneswar 751030, India)

  • Manohar Mishra

    (Department of Electrical and Electronics Engineering, ITER, Siksha O Anusandhan University, Bhubaneswar 751030, India)

  • Pravat Kumar Rout

    (Department of Electrical and Electronics Engineering, ITER, Siksha O Anusandhan University, Bhubaneswar 751030, India)

  • Debadatta Amaresh Gadanayak

    (Department of Electrical and Electronics Engineering, ITER, Siksha O Anusandhan University, Bhubaneswar 751030, India)

  • Shazia Hasan

    (Department of Electrical and Electronics Engineering, BITS-Pilani, Dubai Campus, Dubai 345055, United Arab Emirates)

  • B. Rajanarayan Prusty

    (Department of Electrical and Electronics Engineering, Alliance College of Engineering and Design, Alliance University, Bengaluru 562106, India)

Abstract

The extensive application of power transfer through high-voltage direct current (HVDC) transmission links in smart grid scenarios is due to many factors such as high-power transfer efficiency, decoupled interconnection, control of AC networks, reliable and flexible operation, integration of large wind and photovoltaic (PV)-based off-shore and on-shore farms, cost-effectiveness, etc. However, it is vital to focus on many other aspects like control, protection, coordinated operation, and power management to acquire the above benefits and make them feasible in real-time applications. HVDC protection is needed to focus further on innovative and devoted research because the HVDC system is more vulnerable to system faults and changes in operational conditions in comparison to AC transmission because of the adverse effects of low DC-side impedances and sensitive semi-conductor-based integrated power electronics devices. This paper provides a comprehensive review of the techniques proposed in the last three decades for HVDC protection, analyzing the advantages and disadvantages of each method. The review also examines critical findings and assesses future research prospects for the development of HVDC protection, particularly from the perspective of smart-grid-based power systems. The focus of the review is on bridging the gap between existing protection schemes and topology and addressing the associated challenges and issues. The aim is to inform power engineers and researchers about potential research avenues to tackle the challenges in HVDC protection in smart-grid-based power systems.

Suggested Citation

  • Abha Pragati & Manohar Mishra & Pravat Kumar Rout & Debadatta Amaresh Gadanayak & Shazia Hasan & B. Rajanarayan Prusty, 2023. "A Comprehensive Survey of HVDC Protection System: Fault Analysis, Methodology, Issues, Challenges, and Future Perspective," Energies, MDPI, vol. 16(11), pages 1-39, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4413-:d:1159579
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    References listed on IDEAS

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    1. Rui Li & Lie Xu, 2018. "Review of DC fault protection for HVDC grids," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(2), March.
    2. Shijun Xie & Zhou Mu & Weidong Ding & Zhenbo Wan & Shaochun Su & Chenmeng Zhang & Yu Zhang & Yalong Xia & Donghui Luo, 2022. "Development of Broadband Resistive–Capacitive Parallel–Connection Voltage Divider for Transient Voltage Monitoring," Energies, MDPI, vol. 15(2), pages 1-14, January.
    3. Perez-Molina, M.J. & Larruskain, D.M. & Eguia Lopez, P. & Buigues, G. & Valverde, V., 2021. "Review of protection systems for multi-terminal high voltage direct current grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    4. Bialek, Janusz, 2020. "What does the GB power outage on 9 August 2019 tell us about the current state of decarbonised power systems?," Energy Policy, Elsevier, vol. 146(C).
    5. Raheel Muzzammel & Ali Raza, 2020. "A Support Vector Machine Learning-Based Protection Technique for MT-HVDC Systems," Energies, MDPI, vol. 13(24), pages 1-33, December.
    6. Patnaik, Bhaskar & Mishra, Manohar & Bansal, Ramesh C. & Jena, Ranjan K., 2021. "MODWT-XGBoost based smart energy solution for fault detection and classification in a smart microgrid," Applied Energy, Elsevier, vol. 285(C).
    7. Raad Salih Jawad & Hafedh Abid, 2022. "Fault Detection in HVDC System with Gray Wolf Optimization Algorithm Based on Artificial Neural Network," Energies, MDPI, vol. 15(20), pages 1-17, October.
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    Cited by:

    1. Chintan Patel & Tanmoy Malakar & S. Sreejith, 2023. "Assessment of Converter Performance in Hybrid AC-DC Power System under Optimal Power Flow with Minimum Number of DC Link Control Variables," Energies, MDPI, vol. 16(15), pages 1-20, August.
    2. Sahebkar Farkhani, Jalal & Çelik, Özgür & Ma, Kaiqi & Bak, Claus Leth & Chen, Zhe, 2024. "A comprehensive review of potential protection methods for VSC multi-terminal HVDC systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).

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