Multi-objective Binary Particle Swarm Optimization Algorithm for Optimal Distribution System reconfiguration

EasyChair Preprint 2009

Abstract

One of the salient features of protection system in smart grid is to reconfigure the network automatically in order to insure power system reliability. This paper proposes a binary particle swarm optimization (BPSO) based procedure for achieving the network reconfiguration. Two objectives are considered in this paper, the first one aims at reducing the power 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 system branches to reduce the power 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 test the effectiveness of BPSO algorithm.Numerical results are presented to explain the feasibility and the validity of the proposed procedure through the application on three standard test systems called 33, 69 and 119 IEEE bus systems.The results obtained using the BPSO technique are compared with previous methods in the literature to demonstrate the effectiveness of the proposed procedure.

Keyphrases: Reconfiguration of distribution networks, Voltage improvement, binary particle swarm optimizer, loss minimization

@booklet{EasyChair:2009,
  author    = {Adel Abou El-Ela and Ragab A. El-Sehiemy and Nora K. El-Ayaat},
  title     = {Multi-objective Binary Particle Swarm Optimization Algorithm for Optimal Distribution System reconfiguration},
  howpublished = {EasyChair Preprint 2009},
  year      = {EasyChair, 2019}}