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Two Terminal Instantaneous Power-Based Fault Classification and Location Techniques for Transmission Lines

Author

Listed:
  • Raheel Muzzammel

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

  • Rabia Arshad

    (Department of Electrical and Computer Engineering, Comsats University Islamabad, Lahore Campus, Lahore 54000, Pakistan)

  • Ali Raza

    (Department of Electrical, Electronics and Telecommunication Engineering, University of Engineering and Technology, Lahore 54000, Pakistan)

  • Nebras Sobahi

    (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Umar Alqasemi

    (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

Transmission lines are an important part of the power system, as they are the carriers of power from one end to another. In the event of a fault, the power transferring process is disturbed and can even damage the equipment, which is attached to the generation end as well as the user end. Most of the power systems are connected to the transmission lines, so it is very important to make the transmission lines secure. For protection purposes, relays are used, but relays only trip in the event of a fault and do not tell us about the location of the fault. The power system requires a speedy protection system. For a speedy protection system, quick and fast fault analysis and classification are required. An effective approach for the analysis of the transmission line with three sources is proposed. This method is quite effective and accurate for locating the fault and classifying its types. This technique needs power measurement from both ends simultaneously for fault diagnosis. Instantaneous power and sign power values are used for fault detection and classification. A voltage profile is used to identify the fault location. For three-phase transmission lines, voltage profiles are built up at different segment points to locate the fault. The IEEE-9 bus system is simulated for this technique. MATLAB is employed for simulation purposes. The test system is simulated with different types of faults at different locations. Relay operation has not affected the accuracy of the system. This technique has an accuracy of more than 97%. This method is quite effective for the analysis of power transmission lines. It can discriminate the fault type, identify the faulty phase of the line, and locate the point of the fault. Faults are located with errors not more than 0.45%. Moreover, the time difference between the actual fault and the calculated fault obtained from the estimated location is not more than 0.004 s. Simulations are claimed to be executed in less computational time, ensuring effective and rapid protection against faults.

Suggested Citation

  • Raheel Muzzammel & Rabia Arshad & Ali Raza & Nebras Sobahi & Umar Alqasemi, 2023. "Two Terminal Instantaneous Power-Based Fault Classification and Location Techniques for Transmission Lines," Sustainability, MDPI, vol. 15(1), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:1:p:809-:d:1022747
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    References listed on IDEAS

    as
    1. Raheel Muzzammel, 2019. "Traveling Waves-Based Method for Fault Estimation in HVDC Transmission System," Energies, MDPI, vol. 12(19), pages 1-31, September.
    2. 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.
    3. Mansouri, Seyed Amir & Nematbakhsh, Emad & Ahmarinejad, Amir & Jordehi, Ahmad Rezaee & Javadi, Mohammad Sadegh & Marzband, Mousa, 2022. "A hierarchical scheduling framework for resilience enhancement of decentralized renewable-based microgrids considering proactive actions and mobile units," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
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    Cited by:

    1. Yanwen Wang & Jiyuan Cao & Zhiming Hu & Xueqian Han & Xuan Zhou, 2023. "Faulty Feeder Detection Based on Grey Correlation Degree of Adaptive Frequency Band in Resonant Grounding Distribution System," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    2. Ghaemi, Ali & Safari, Amin & Quteishat, Anas & Younis, Mahmoud A., 2024. "A stacking-based fault forecasting study for power transmission lines under different weather conditions," Energy, Elsevier, vol. 306(C).

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