An Improved Symbiotic Organisms Search Algorithm for Multi-objective Simultaneous Optimal Allocation of DSTATCOM and DG Units

Abstract

This paper proposes an improved version of the Symbiotic Organisms Search (SOS) algorithm based on oppositional learning and adaptive chaotic local search strategy for simultaneous optimal allocation of multiple DSTACOMs and different types of DG units in an electric distribution network to minimize power loss, improve the voltage profiles and enhance voltage stability margin. The performance of the improved Symbiotic Organisms Search algorithm and the original Symbiotic Organism Search algorithms are compared applying these for a 33-bus test distribution system.