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Differential Analysis of Fault Currents in a Power Distribution Feeder Using abc , αβ0 , and dq0 Reference Frames

Author

Listed:
  • Edmilson Bermudes Rocha Junior

    (Department of Electral Engineering, Federal Institute of Espírito Santo, Vitória 29040-780, ES, Brazil)

  • Oureste Elias Batista

    (Department of Electral Engineering, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil)

  • Domingos Sávio Lyrio Simonetti

    (Department of Electral Engineering, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil)

Abstract

This paper proposes a methodology to monitor the instantaneous value of the current and its derivative in the abc , αβ0 , and dq0 reference frames to act in the detection of fault current in medium-voltage distribution systems. The method employed to calculate the derivative was Euler’s, with processing sampling rates of 10, 50, 100, and 200 μs. Using the MATLAB/Simulink platform, fault situations were analyzed on a real feeder of approximately 1.1132 km in length, fed by an 11.4 kV source, composed of 26 unbalanced loads and modeled as constant power. The simulation results show that the detection occurred in the different fault situations implemented in the feeder and that the detection speed is related to the value of the processing sampling rate (PSR) used. Considering all fault situations and regardless of the PSR value used, the total average detection time was 49 µs. Besides that, the joint action of the detection system with the Thyristor Controlled Series Capacitor (TCSC) limited the fault current in each situation. The average detection time for each fault situation analyzed was below the typical time for a recloser to act, regardless of the reference adopted for the analysis.

Suggested Citation

  • Edmilson Bermudes Rocha Junior & Oureste Elias Batista & Domingos Sávio Lyrio Simonetti, 2022. "Differential Analysis of Fault Currents in a Power Distribution Feeder Using abc , αβ0 , and dq0 Reference Frames," Energies, MDPI, vol. 15(2), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:526-:d:722991
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    References listed on IDEAS

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    1. 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.
    2. Brearley, Belwin J. & Prabu, R. Raja, 2017. "A review on issues and approaches for microgrid protection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 988-997.
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    Cited by:

    1. 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.
    2. Younis M. Nsaif & Molla Shahadat Hossain Lipu & Aini Hussain & Afida Ayob & Yushaizad Yusof & Muhammad Ammirrul A. M. Zainuri, 2022. "A New Voltage Based Fault Detection Technique for Distribution Network Connected to Photovoltaic Sources Using Variational Mode Decomposition Integrated Ensemble Bagged Trees Approach," Energies, MDPI, vol. 15(20), pages 1-20, October.

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