A Comprehensive Study on Specifying an Intelligent Approach to Solve Network Reconfiguration Problem

Mahmoud Reza Shakarami (Lorestan University)
Sina Khajeh Ahmad Attari (Lorestan University)
Farhad Namdari (Lorestan University)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 1, No 3: March 2016

This paper presents an approach based on biogeography-based optimization (BBO) algorithm to solve the distribution network reconfiguration (DNR) problem for minimizing active power loss. Also it is demonstrated that with considering the nature of reconfiguration problem, among the intelligent algorithms, BBO approach could result the best performance. One of the remarkable advantages of this study is comparing seven different intelligent algorithms in solving network reconfiguration problem. This comparison, not only includes final fitness in optimization process, but also considers number of function evaluation (NFE). The effectiveness of the BBO method has been tested on two different distribution systems and the obtained simulation results are compared with Genetic algorithm (GA), Particle swarm optimization (PSO), Artificial bee colony (ABC), Gravitational search algorithm (GSA), Technical learning based optimization (TLBO) and Cuckoo algorithm (CA). The comparison results show that BBO approach can be an efficient and promising method for solving DNR problems.