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Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

Author

Listed:
  • Gabriel Vianna Soares Rocha

    (CEAMAZON—Amazon Energy Efficiency Center, Federal University of Pará (UFPA), Ave. Perimetral 2651, Guamá, 66077-830 Belém, PA, Brazil)

  • Raphael Pablo de Souza Barradas

    (CEAMAZON—Amazon Energy Efficiency Center, Federal University of Pará (UFPA), Ave. Perimetral 2651, Guamá, 66077-830 Belém, PA, Brazil)

  • João Rodrigo Silva Muniz

    (CEAMAZON—Amazon Energy Efficiency Center, Federal University of Pará (UFPA), Ave. Perimetral 2651, Guamá, 66077-830 Belém, PA, Brazil)

  • Ubiratan Holanda Bezerra

    (CEAMAZON—Amazon Energy Efficiency Center, Federal University of Pará (UFPA), Ave. Perimetral 2651, Guamá, 66077-830 Belém, PA, Brazil)

  • Igor Meireles de Araújo

    (LINC—Laboratory of Computational Intelligence, Federal University of Pará (UFPA), St. Augusto Correa 01, Guamá, 66075-110 Belém, PA, Brazil)

  • Daniel de Souza Avelar da Costa

    (CEAMAZON—Amazon Energy Efficiency Center, Federal University of Pará (UFPA), Ave. Perimetral 2651, Guamá, 66077-830 Belém, PA, Brazil)

  • Abner Cardoso da Silva

    (LINC—Laboratory of Computational Intelligence, Federal University of Pará (UFPA), St. Augusto Correa 01, Guamá, 66075-110 Belém, PA, Brazil)

  • Marcus Vinícius Alves Nunes

    (CEAMAZON—Amazon Energy Efficiency Center, Federal University of Pará (UFPA), Ave. Perimetral 2651, Guamá, 66077-830 Belém, PA, Brazil)

  • Jucileno Silva e Silva

    (CELPA—Electric Distribution Utility of Pará, Ave. Augusto Montenegro 5639-5671, Castanheira, 66645-001 Belém, PA, Brazil)

Abstract

The efficient protection of electric power distribution networks against lightning discharges is a crucial problem for distribution electric utilities. To solve this problem, the great challenge is to find a solution for the installation of surge arresters at specific points in the electrical grid and in a sufficient quantity that can ensure an adequate level of equipment protection and be within the utility’s budget. As a solution to this problem of using ATP (Alternative Transient Program), this paper presents a methodology for optimized surge arrester allocation based on genetic algorithm (GA), with a fitness function that maximizes the number of protected equipment according to the financial availability for investment in surge arresters. As ATP may demand too much processing time when running large distribution grids, an innovative procedure is implemented to obtain an overvoltage severity description of the grid and select only the most critical electric nodes for the incidence of lightning discharges, in the GA allocation procedure. The results obtained for the IEEE-123 bus electric feeder indicate a great reduction of flashover occurrence, thus increasing the equipment protection level.

Suggested Citation

  • Gabriel Vianna Soares Rocha & Raphael Pablo de Souza Barradas & João Rodrigo Silva Muniz & Ubiratan Holanda Bezerra & Igor Meireles de Araújo & Daniel de Souza Avelar da Costa & Abner Cardoso da Silva, 2019. "Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems," Energies, MDPI, vol. 12(21), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4110-:d:280996
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    Citations

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    Cited by:

    1. Raphael Pablo de Souza Barradas & Gabriel Vianna Soares Rocha & João Rodrigo Silva Muniz & Ubiratan Holanda Bezerra & Marcus Vinícius Alves Nunes & Jucileno Silva e Silva, 2020. "Methodology for Analysis of Electric Distribution Network Criticality Due to Direct Lightning Discharges," Energies, MDPI, vol. 13(7), pages 1-23, April.
    2. André M. de Morais & Rodrigo M. S. de Oliveira & Marcus V. A. Nunes, 2023. "Mitigation of Insulator Lightning-Induced Voltages by Installing Parallel Low-Voltage Surge Arresters," Energies, MDPI, vol. 16(3), pages 1-16, January.

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