Rocha, G.V.S.; Barradas, R.P.S.; Muniz, J.R.S.; Bezerra, U.H.; Araújo, I.M.; Costa, D.S.A.; Silva, A.C.; Nunes, M.V.A.; Silva, J.S. Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems. Energies2019, 12, 4110.
Rocha, G.V.S.; Barradas, R.P.S.; Muniz, J.R.S.; Bezerra, U.H.; Araújo, I.M.; Costa, D.S.A.; Silva, A.C.; Nunes, M.V.A.; Silva, J.S. Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems. Energies 2019, 12, 4110.
Lightning discharges in electric power networks generate voltage and current surges that are propagated through the electrical network causing damage and shutdowns in the electrical system. To protect the system against these phenomena, surge arresters are very effective and widely used by electrical utilities in their electric grids. This paper presents a methodology for optimized surge arrester allocation based on genetic algorithm (GA), creating a simulation environment in the software ATP (Alternative Transients Program) to implement the proposed methodology. The optimized allocation procedure is based on a fitness function that minimizes the cost of surge arresters and maximizes the number of protected equipment. To carry out this optimized arrester allocation procedure using ATP may demand too much processing time when running large distribution grids. To overcome this difficulty a procedure is proposed to obtain an overvoltage severity description of the grid and select the most critical electric nodes for the incidence of lightning discharges, in the GA allocation procedure. The case study is applied to the IEEE 123-bus electrical feeder to demonstrate the effectiveness of the proposed methodology.
transient analysis; surge arrester allocation; genetic algorithm; ATP
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