Next Article in Journal
Effects of the Carbon Support Doping with Nitrogen for the Hydrogen Production from Formic Acid over Ni Catalysts
Next Article in Special Issue
Optimal Coordination of DOC Relays Incorporated into a Distributed Generation-Based Micro-Grid Using a Meta-Heuristic MVO Algorithm
Previous Article in Journal
Sensor Fault Tolerant Control for Aircraft Engines Using Sliding Mode Observer
Previous Article in Special Issue
Smart Microgrids Operation Considering a Variable Neighborhood Search: The Differential Evolutionary Particle Swarm Optimization Algorithm
Open AccessArticle

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

CEAMAZON—Amazon Energy Efficiency Center, Federal University of Pará (UFPA), Ave. Perimetral 2651, Guamá, 66077-830 Belém, PA, Brazil
LINC—Laboratory of Computational Intelligence, Federal University of Pará (UFPA), St. Augusto Correa 01, Guamá, 66075-110 Belém, PA, Brazil
CELPA—Electric Distribution Utility of Pará, Ave. Augusto Montenegro 5639-5671, Castanheira, 66645-001 Belém, PA, Brazil
Authors to whom correspondence should be addressed.
Energies 2019, 12(21), 4110;
Received: 30 August 2019 / Revised: 18 October 2019 / Accepted: 22 October 2019 / Published: 28 October 2019
(This article belongs to the Special Issue Heuristic Optimization Techniques Applied to Power Systems)
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. View Full-Text
Keywords: transient analysis; surge arrester allocation; genetic algorithm; ATP transient analysis; surge arrester allocation; genetic algorithm; ATP
Show Figures

Figure 1

MDPI and ACS Style

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop