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

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, Marcus Vinícius Alves Nunes and Jucileno Silva e Silva
Additional contact information
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

Energies, 2019, vol. 12, issue 21, 1-15

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.

Keywords: transient analysis; surge arrester allocation; genetic algorithm; ATP (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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