Optimal placement & sizing of DG's using backtracking search algorithm in IEEE 33-bus distribution system

Abstract

This paper presents an efficient and fast-converging optimization technique based on a modification of the traditional big bang-big crunch method for optimal placement and sizing of voltage controlled distributed generators. The Proposed Backtracking Search Algorithm (BSA) has been applied on balanced and unbalanced distribution feeders and validated via comparing its results with published results done using different analytical and numerical methods. The method is capable of handling distribution systems of all sizes. A very recent swarm optimization technique namely backtracking search optimization algorithm (BSOA) is considered and compared with conventional Big Bang Big Crunch Method (BBBC). DGs supplying both active and reactive power have been studied. The proposed (BSA) algorithm is implemented in MATLAB environment and tested on the IEEE 33-bus feeder system.