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Current phase comparison pilot scheme for distributed generation networks protection

Author

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  • El Halabi, N.
  • García-Gracia, M.
  • Borroy, J.
  • Villa, J.L.

Abstract

The trends of the actual distribution networks are moving toward a high penetration of distributed generation and power electronics converters. These technologies modify contribution-to-fault current magnitudes and raise concern about new protection parameters settings to accurately detect faults on distribution networks. This paper proposes a differential phase jump pilot scheme to detect faulted branches in distribution networks. The aim of the proposed scheme is to provide an efficient algorithm with functions of fault detection and isolation, which are part of the self-healing functions used for smart grids. The proposed scheme is based on the current phase jump measured in each node with fault inception. Then, by comparing the phase jump obtained with the prefault conditions and rate changes, it determines the fault direction enabling a trip signal to the corresponding nodes to isolate the branch under fault. A distribution network has been modeled in PSCAD/EMTDC program to verify the proposed algorithm, taking into account distributed generation provided by both wind turbines (doubly fed induction generator and permanent magnet generator with full converter) and solar photovoltaic installations. The behavior of the current phase jump has been studied for both generation and load nodes. This algorithm is not affected by the magnitude of current and voltage and has been tested varying fault location and resistance along the modeled distribution network.

Suggested Citation

  • El Halabi, N. & García-Gracia, M. & Borroy, J. & Villa, J.L., 2011. "Current phase comparison pilot scheme for distributed generation networks protection," Applied Energy, Elsevier, vol. 88(12), pages 4563-4569.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:12:p:4563-4569
    DOI: 10.1016/j.apenergy.2011.05.048
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    References listed on IDEAS

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    1. García-Gracia, M. & El Halabi, N. & Khodr, H.M. & Sanz, Jose Fco, 2010. "Improvement of large scale solar installation model for ground current analysis," Applied Energy, Elsevier, vol. 87(11), pages 3467-3474, November.
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    Cited by:

    1. Yavuz Ates & Ali Rifat Boynuegri & Mehmet Uzunoglu & Abdullah Nadar & Recep Yumurtacı & Ozan Erdinc & Nikolaos G. Paterakis & João P. S. Catalão, 2016. "Adaptive Protection Scheme for a Distribution System Considering Grid-Connected and Islanded Modes of Operation," Energies, MDPI, vol. 9(5), pages 1-18, May.
    2. Jia, Ke & Gu, Chenjie & Li, Lun & Xuan, Zhengwen & Bi, Tianshu & Thomas, David, 2018. "Sparse voltage amplitude measurement based fault location in large-scale photovoltaic power plants," Applied Energy, Elsevier, vol. 211(C), pages 568-581.
    3. Samadi, Afshin & Shayesteh, Ebrahim & Eriksson, Robert & Rawn, Barry & Söder, Lennart, 2014. "Multi-objective coordinated droop-based voltage regulation in distribution grids with PV systems," Renewable Energy, Elsevier, vol. 71(C), pages 315-323.
    4. Haojie Mo & Yonggang Peng & Wei Wei & Wei Xi & Tiantian Cai, 2022. "SR-GNN Based Fault Classification and Location in Power Distribution Network," Energies, MDPI, vol. 16(1), pages 1-15, December.
    5. Mohd Zin, Abdullah Asuhaimi B. & Pesaran H.A., Mahmoud & Khairuddin, Azhar B. & Jahanshaloo, Leila & Shariati, Omid, 2013. "An overview on doubly fed induction generators′ controls and contributions to wind based electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 692-708.
    6. Ahmadigorji, Masoud & Amjady, Nima, 2015. "Optimal dynamic expansion planning of distribution systems considering non-renewable distributed generation using a new heuristic double-stage optimization solution approach," Applied Energy, Elsevier, vol. 156(C), pages 655-665.

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