Multi-objective Binary Particle Swarm optimization Algorithm for Optimal Distribution System Reconfiguration

Abstract

One of the salient features of protection system in smart grid is to reconFigure the network automatically with a view to insure power system reliability. This paper introduces a binary particle swarm optimizer (BPSO) based procedure for handling the network reconfiguration (NR) problem. Two objectives are taken into consideration; the first strives for reducing the system losses while the second objective function improves the voltage profile. A multi-objective framework is developed to achieve these objectives simultaneously. The proposed procedure seeks about the optimal tie switches positions and provides the minimum number of sectionalizing switches in the branches to reduce the system losses. Depending on distribution feeder operations, the distribution reconfiguration is done as binary arrangement combination of switches. The performance of distribution networks is carried out using MATLAB programming to check the effectiveness of BPSO algorithm. Numerical results are presented to explain the feasibility and the validation of the proposed procedure through the application on three standard systems called 33, 69 and 119 IEEE node systems. The obtained results using the BPSO technique are matched with various methods in the literature to manifest the efficacy of the proposed procedure.