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Incorporating customers' reliability requirements and interruption characteristics in service restoration plans for distribution systems

Author

Listed:
  • Zidan, Aboelsood
  • El-Saadany, E.F.

Abstract

Due to the serious consequences of system outages on customers and utilities, restoration of the power supply to the healthy out-of-service loads is of profound importance. After faults have been located and isolated, restoration plans are applied in order to maximize the re-energized loads with minimum number of switching operations. The consequences of service interruption depend on the number of affected customers, customer load type and size, time of occurrence, frequency of outages, and the outage duration period. In this work, all these factors have been considered in the restoration process. The constraints involved include voltage limits, line current limits, and radial topology. In addition, an improved encoding which codes the control variables depending on different restoration circumstances is presented. It greatly reduces the number of control variables, filters out a large number of infeasible solutions and improves the algorithm efficiency.

Suggested Citation

  • Zidan, Aboelsood & El-Saadany, E.F., 2015. "Incorporating customers' reliability requirements and interruption characteristics in service restoration plans for distribution systems," Energy, Elsevier, vol. 87(C), pages 192-200.
    • Handle: RePEc:eee:energy:v:87:y:2015:i:c:p:192-200
    DOI: 10.1016/j.energy.2015.04.067
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    References listed on IDEAS

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    1. Linares, Pedro & Rey, Luis, 2013. "The costs of electricity interruptions in Spain. Are we sending the right signals?," Energy Policy, Elsevier, vol. 61(C), pages 751-760.
    2. Zidan, Aboelsood & El-Saadany, Ehab F., 2013. "Incorporating load variation and variable wind generation in service restoration plans for distribution systems," Energy, Elsevier, vol. 57(C), pages 682-691.
    3. Sanghvi, Arun P., 1982. "Economic costs of electricity supply interruptions : US and foreign experience," Energy Economics, Elsevier, vol. 4(3), pages 180-198, July.
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    Cited by:

    1. Ehsan Gord & Rahman Dashti & Mojtaba Najafi & Hamid Reza Shaker, 2019. "Real Fault Section Estimation in Electrical Distribution Networks Based on the Fault Frequency Component Analysis," Energies, MDPI, vol. 12(6), pages 1-29, March.
    2. Abo-Elyousr, Farag K. & Elnozahy, Ahmed, 2018. "Bi-objective economic feasibility of hybrid micro-grid systems with multiple fuel options for islanded areas in Egypt," Renewable Energy, Elsevier, vol. 128(PA), pages 37-56.
    3. Tang, Yang & Liu, Qingyou & Jing, Jiajia & Yang, Yan & Zou, Zhengwei, 2017. "A framework for identification of maintenance significant items in reliability centered maintenance," Energy, Elsevier, vol. 118(C), pages 1295-1303.
    4. Aboelsood Zidan & Hossam A. Gabbar, 2016. "DG Mix and Energy Storage Units for Optimal Planning of Self-Sufficient Micro Energy Grids," Energies, MDPI, vol. 9(8), pages 1-18, August.
    5. El-Sharafy, M. Zaki & Farag, Hany E.Z., 2017. "Back-feed power restoration using distributed constraint optimization in smart distribution grids clustered into microgrids," Applied Energy, Elsevier, vol. 206(C), pages 1102-1117.
    6. 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.

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