Solution for Multi-Objective Reactive Power Optimization Problem Using Fuzzified Particle Swarm Optimization Algorithm

This paper presents a more efficient method for solving the Multi-Objective Reactive Power Optimization (MORPO) problem. The MORPO problem is formulated as a non-linear constrained true multi-objective optimization problem with competing objectives the transmission loss, voltage deviation and the voltage stability index. The solution methodology is a combined application of Fuzzy Logic strategy incorporated in Particle Swarm Optimization (PSO) algorithm, termed as Fuzzified PSO (FPSO). The performance of the proposed approach was tested on a standard IEEE 30-bus system and is compared with Strength Pareto Evolutionary Algorithm (SPEA), Tabu search (TS), and Fuzzy Guided Tabu Search (FGTS) algorithm. The result shows that the proposed method has greater potential in the evolutionary computation for solving the MORPO problem. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.