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Tomoiaga, B., Chindris, M., Sumper, A., Sudria-Andreu, A. and Villafafila-Robles, R. (2013) Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II. Energies, 6, 1439-1455.
https://doi.org/10.3390/en6031439

has been cited by the following article:

• TITLE: Optimal Reconfiguration of Power Distribution Systems Based on Symbiotic Organism Search Algorithm

  AUTHORS: Alexandre Teplaira Boum, Patrik Roger Ndjependa, Jacquie Ngo Bisse

  KEYWORDS: Reconfiguration, Algorithm of Symbiotic Search, Metaheuristic Algorithm

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.5 No.11, November 17, 2017

  ABSTRACT: This paper presents a reconfiguration of electric power distribution network based on the symbiotic organism search algorithm (SOS). The goal here is to come out with an optimal reconfiguration of a power distribution network that minimises the active power losses for a good power flow. This method is applied to IEEE 33 bus and the results show a significant reduction of active power losses. The execution time for this algorithm is found to be smaller compared to other metaheuristic algorithms.