Energy loss minimization in RDF using MAPSO method considering harmonics

Abstract

This paper presents new techniques for capacitor placement in radial distribution feeders, with harmonics consideration, in order to reduce the real power loss, to improve the voltage profile and to achieve economical saving. The identification of the weak buses, where the capacitors should be placed is decided by a set of rules given by the fuzzy expert system. Power loss index and node voltage are used as inputs to the fuzzy expert system and the output is sensitivity index which gives the weak buses in the system where the capacitor to be placed. The sizing of the capacitors is modeled by an objective function to obtain maximum savings using Multi Agent Particle Swarm Optimization (MAPSO).To illustrate the applicability of the above algorithms, simulation is performed on an existing IEEE 34 bus distribution feeders. The results of the proposed approaches are compared with PSO and HPSO techniques.