Optimal distribution network reconfiguration using fuzzy interaction and MPSO algorithm

Abstract

The Distribution Feeder Reconfiguration (DFR) is among the most well-known reinforcement methods to improve the radial distribution capabilities. Optimal management of DFR problem can yield many advantages such as power loss reduction, load balance improvement, voltage profile enhancement, etc. Therefore, the main purpose of this paper is to investigate the positive effect of the DFR strategy on the network performance. In this regard, a new fuzzy-based interactive method based on modified particle swarm optimization (PSO) algorithm is suggested to study the multi-objective DFR problem deeply. The objective functions to be investigated are total active power losses, voltage deviation and load balance. Also, a fuzzy based interactive method is utilized to satisfy all the objective functions sufficiently. The idea of the fuzzy-based interactive method will let the operator to determine the satisfying degree of each objective function. The feasibility and effectiveness of the proposed method is examined on the 32-bus IEEE radial distribution system.