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

Autor: 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, Jucileno Silva e Silva
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Energies, Vol 12, Iss 21, p 4110 (2019)
Druh dokumentu: article
ISSN: 1996-1073
DOI: 10.3390/en12214110
Popis: 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.
Databáze: Directory of Open Access Journals
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