IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i17p6468-d906733.html
   My bibliography  Save this article

An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves

Author

Listed:
  • Rizwan Tariq

    (Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Bt. 8, Jalan Sungai Pusu, Gombak 53100, Selangor, Malaysia)

  • Ibrahim Alhamrouni

    (Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Bt. 8, Jalan Sungai Pusu, Gombak 53100, Selangor, Malaysia)

  • Ateeq Ur Rehman

    (Department of Electrical Engineering, Government College University, Lahore 54000, Pakistan)

  • Elsayed Tag Eldin

    (Faculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt)

  • Muhammad Shafiq

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

  • Nivin A. Ghamry

    (Fuculty of Computers and Artificial intelligene, Cairo University, Giza 3750010, Egypt)

  • Habib Hamam

    (Faculty of Engineering, University de Moncton, Moncton, NB E1A3E9, Canada
    International Institute of Technology and Management, Commune d’Akanda, Libreville BP 1989, Gabon
    Spectrum of Knowledge Production & Skills Development, Sfax 3027, Tunisia
    Department of Electrical and Electronic Engineering Science, School of Electrical Engineering, University of Johannesburg, Johannesburg 2006, South Africa)

Abstract

Faults in the power system affect the reliability, safety, and stability. Power-distribution systems are familiar with the different faults that can damage the overall performance of the entire system, from which they need to be effectively cleared. Underground power systems are more complex and require extra accuracy in fault detection and location for optimum fault management. Slow processing and the unavailability of a protection zone for relay coordination are concerns in fault detection and location, as these reduce the performance of power-protection systems. In this regard, this article proposes an optimized solution for a fault detection and location framework for underground cables based on a discrete wavelet transform (DWT). The proposed model supports area detection, the identification of faulty sections, and fault location. To overcome the abovementioned facts, we optimize the relay coordination for the overcurrent and timing relays. The proposed protection zone has two sequential stages for the current and time at which it optimizes the current and time settings of the connected relays through Newton–Raphson analysis (NRA). Moreover, the traveling times for the DWT are modeled, which relate to the protection zone provided by the relay coordination, and the faulty line that is identified as the relay protection is not overlapped. The model was tested for 132 kV / 11 kV and 16-node networks for underground cables, and the obtained results show that the proposed model can detect and locate the cable’s faults speedily, as it detects the fault in 0.01 s, and at the accurate location. MATLAB/Simulink (DigSILENT Toolbox) is used to establish the underground network for fault location and detection.

Suggested Citation

  • Rizwan Tariq & Ibrahim Alhamrouni & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq & Nivin A. Ghamry & Habib Hamam, 2022. "An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves," Energies, MDPI, vol. 15(17), pages 1-19, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6468-:d:906733
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/17/6468/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/17/6468/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoyun Rong & Jonathan K. H. Shek & D. Ewen Macpherson & Phil Mawby, 2021. "The Effects of Filter Capacitors on Cable Ripple at Different Sections of the Wind Farm Based Multi-Terminal DC System," Energies, MDPI, vol. 14(21), pages 1-19, October.
    2. Zuoxun Wang & Liqiang Xu, 2020. "Fault Detection of the Power System Based on the Chaotic Neural Network and Wavelet Transform," Complexity, Hindawi, vol. 2020, pages 1-15, December.
    3. Atul Kulshrestha & Om Prakash Mahela & Mukesh Kumar Gupta & Neeraj Gupta & Nilesh Patel & Tomonobu Senjyu & Mir Sayed Shah Danish & Mahdi Khosravy, 2020. "A Hybrid Fault Recognition Algorithm Using Stockwell Transform and Wigner Distribution Function for Power System Network with Solar Energy Penetration," Energies, MDPI, vol. 13(14), pages 1-25, July.
    4. Kanendra Naidu & Mohd Syukri Ali & Ab Halim Abu Bakar & Chia Kwang Tan & Hamzah Arof & Hazlie Mokhlis, 2020. "Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-22, January.
    5. Bilal Masood & M. Arif Khan & Sobia Baig & Guobing Song & Ateeq Ur Rehman & Saif Ur Rehman & Rao M. Asif & Muhammad Babar Rasheed, 2020. "Investigation of Deterministic, Statistical and Parametric NB-PLC Channel Modeling Techniques for Advanced Metering Infrastructure," Energies, MDPI, vol. 13(12), pages 1-20, June.
    6. Shuo Zhang & Guibin Zou & Qiang Huang & Houlei Gao, 2018. "A Traveling-Wave-Based Fault Location Scheme for MMC-Based Multi-Terminal DC Grids," Energies, MDPI, vol. 11(2), pages 1-15, February.
    7. Sheesh Ram Ola & Amit Saraswat & Sunil Kumar Goyal & Virendra Sharma & Baseem Khan & Om Prakash Mahela & Hassan Haes Alhelou & Pierluigi Siano, 2020. "Alienation Coefficient and Wigner Distribution Function Based Protection Scheme for Hybrid Power System Network with Renewable Energy Penetration," Energies, MDPI, vol. 13(5), pages 1-25, March.
    8. Saeid Khavari & Rahman Dashti & Hamid Reza Shaker & Athila Santos, 2020. "High Impedance Fault Detection and Location in Combined Overhead Line and Underground Cable Distribution Networks Equipped with Data Loggers," Energies, MDPI, vol. 13(9), pages 1-15, May.
    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. Songyuan Li & Pengxian Song & Zhanpeng Wei & Xu Li & Qinghua Tang & Zhengzheng Meng & Ji Li & Songtao Liu & Yuhuai Wang & Jin Li, 2022. "Partial Discharge Detection and Defect Location Method in GIS Cable Terminal," Energies, MDPI, vol. 16(1), pages 1-10, December.
    2. Ana-Maria Moldovan & Mircea Ion Buzdugan, 2023. "Prediction of Faults Location and Type in Electrical Cables Using Artificial Neural Network," Sustainability, MDPI, vol. 15(7), pages 1-19, April.

    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. Luigi Fortuna & Arturo Buscarino, 2022. "Sustainable Energy Systems," Energies, MDPI, vol. 15(23), pages 1-7, December.
    2. Susana Martín Arroyo & Miguel García-Gracia & Antonio Montañés, 2019. "The Half-Sine Method: A New Accurate Location Method Based on Wavelet Transform for Transmission-Line Protection from Single-Ended Measurements," Energies, MDPI, vol. 12(17), pages 1-15, August.
    3. Xiangyu Pei & Guangfu Tang & Shengmei Zhang, 2018. "A Novel Pilot Protection Principle Based on Modulus Traveling-Wave Currents for Voltage-Sourced Converter Based High Voltage Direct Current (VSC-HVDC) Transmission Lines," Energies, MDPI, vol. 11(9), pages 1-20, September.
    4. Olga Akhmedova & Anatoliy Soshinov & Farit Gazizov & Svetlana Ilyashenko, 2021. "Development of an Intelligent System for Distance Relay Protection with Adaptive Algorithms for Determining the Operation Setpoints," Energies, MDPI, vol. 14(4), pages 1-20, February.
    5. Bilal Masood & Song Guobing & Jamel Nebhen & Ateeq Ur Rehman & Muhammad Naveed Iqbal & Iftikhar Rasheed & Mohit Bajaj & Muhammad Shafiq & Habib Hamam, 2022. "Investigation and Field Measurements for Demand Side Management Control Technique of Smart Air Conditioners located at Residential, Commercial, and Industrial Sites," Energies, MDPI, vol. 15(7), pages 1-23, March.
    6. Yan Xu & Jingyan Liu & Weijia Jin & Yuan Fu & Hui Yang, 2018. "Fault Location Method for DC Distribution Systems Based on Parameter Identification," Energies, MDPI, vol. 11(8), pages 1-18, July.
    7. Yijin Li & Jianhua Lin & Geng Niu & Ming Wu & Xuteng Wei, 2021. "A Hilbert–Huang Transform-Based Adaptive Fault Detection and Classification Method for Microgrids," Energies, MDPI, vol. 14(16), pages 1-16, August.
    8. David S. Ching & Cosmin Safta & Thomas A. Reichardt, 2021. "Sensitivity-Informed Bayesian Inference for Home PLC Network Models with Unknown Parameters," Energies, MDPI, vol. 14(9), pages 1-21, April.
    9. Mani Ashouri & Filipe Faria da Silva & Claus Leth Bak, 2019. "A Harmonic Based Pilot Protection Scheme for VSC-MTDC Grids with PWM Converters," Energies, MDPI, vol. 12(6), pages 1-16, March.
    10. Gori Shankar Sharma & Om Prakash Mahela & Mohamed G. Hussien & Baseem Khan & Sanjeevikumar Padmanaban & Muhammed B. Shafik & Zakaria M. Salem Elbarbary, 2022. "Performance Evaluation of a MW-Size Grid-Connected Solar Photovoltaic Plant Considering the Impact of Tilt Angle," Sustainability, MDPI, vol. 14(3), pages 1-28, January.
    11. Adnan Yousaf & Rao Muhammad Asif & Mustafa Shakir & Ateeq Ur Rehman & Mohmmed S. Adrees, 2021. "An Improved Residential Electricity Load Forecasting Using a Machine-Learning-Based Feature Selection Approach and a Proposed Integration Strategy," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    12. Kumeshan Reddy & Akshay Kumar Saha, 2022. "An Investigation into the Utilization of Swarm Intelligence for the Design of Dual Vector and Proportional–Resonant Controllers for Regulation of Doubly Fed Induction Generators Subject to Unbalanced ," Energies, MDPI, vol. 15(20), pages 1-36, October.
    13. Lingtong Jiang & Qing Chen & Wudi Huang & Lei Wang & Yu Zeng & Pu Zhao, 2018. "Pilot Protection Based on Amplitude of Directional Travelling Wave for Voltage Source Converter-High Voltage Direct Current (VSC-HVDC) Transmission Lines," Energies, MDPI, vol. 11(8), pages 1-15, August.
    14. Hina Maqbool & Adnan Yousaf & Rao Muhammad Asif & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq & Habib Hamam, 2022. "An Optimized Fuzzy Based Control Solution for Frequency Oscillation Reduction in Electric Grids," Energies, MDPI, vol. 15(19), pages 1-21, September.
    15. Yan Xu & Ziqi Hu & Tianxiang Ma, 2022. "Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest," Energies, MDPI, vol. 15(19), pages 1-23, October.
    16. Herodotos Herodotou, 2021. "Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids," Energies, MDPI, vol. 14(9), pages 1-3, May.
    17. Raheel Muzzammel, 2019. "Traveling Waves-Based Method for Fault Estimation in HVDC Transmission System," Energies, MDPI, vol. 12(19), pages 1-31, September.
    18. Kimmo Kauhaniemi, 2023. "Protection and Communication Techniques in Modern Power Systems," Energies, MDPI, vol. 16(5), pages 1-2, February.
    19. Yu Zeng & Guibin Zou & Xiuyan Wei & Chenjun Sun & Lingtong Jiang, 2018. "A Novel Protection and Location Scheme for Pole-to-Pole Fault in MMC-MVDC Distribution Grid," Energies, MDPI, vol. 11(8), pages 1-17, August.
    20. Govind Sahay Yogee & Om Prakash Mahela & Kapil Dev Kansal & Baseem Khan & Rajendra Mahla & Hassan Haes Alhelou & Pierluigi Siano, 2020. "An Algorithm for Recognition of Fault Conditions in the Utility Grid with Renewable Energy Penetration," Energies, MDPI, vol. 13(9), pages 1-22, May.

    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:jeners:v:15:y:2022:i:17:p:6468-:d:906733. 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.