An efficient multi-objective modified shuffled frog leaping algorithm for distribution feeder reconfiguration problem

Abstract

SUMMARYDistributed feeder reconfiguration (DFR) is an operation problem, which entails altering the topological structure of the distribution feeders by rearranging the status of switches in order to obtain an optimal configuration. This paper proposes a new evolutionary algorithm (EA) for solving the multi-objective distribution feeder reconfiguration (MDFR) problem. The proposed algorithm is an efficient multi-objective modified shuffled frog leaping algorithm (MMSFLA) that has been used to solve MDFR problem. A new frog leaping rule is proposed to improve the local exploration of the SFLA, which in turn improves the overall performance of the MSLFA. The main focus of this study is to minimize the real power loss, deviation of the nodes' voltages, and the number of switching operations. In the proposed MMSFLA, an external repository is considered to save non-dominated solutions found during the search process. Since the objective functions are not the same, a fuzzy clustering technique is used to control the size of the repository within the limits. Three distribution test feeders are considered to evaluate the feasibility and effectiveness of the proposed approach.

Frog Inspired Algorithms

“…• Power system optimization (Rameshkhah et al 2010a(Rameshkhah et al , b, 2011Nejad et al 2010a;Gómez-González and Jurado 2011;Narimani 2011;Sedighizadeh et al 2011;Payam et al 2011;Bijami et al 2011;Jahani et al 2010, Jahani et al 2011aJalilzadeh et al 2011;Ebrahimi et al 2011;Yammani et al 2012;Malekpour et al 2012;Niknam and Farsani 2010;Nejad et al 2010b;Niknam et al 2011aNiknam et al , b, c, 2012bKhorsandi et al 2011;Roy and Chakrabarti 2011).…”

Text Mining Research Based on Intelligent Computing in Information Retrieval System

“…Therefore, moving the step length affects the optimization performance of the shuffled frog leaping algorithm to a certain extent. [18,19] …”

Multi-Objective Invasive Weed Optimization – An application to optimal network reconfiguration in radial distribution systems

“…Niknam et al [15] proposed an efficient multi-objective modified shuffled frog leaping algorithm for distribution feeder reconfiguration problem. Sanches et al [16] proposed Node-Depth Encoding with recombination for multi-objective evolutionary algorithm to solve loss reduction problem in large-scale distribution systems.…”