MULTI OBJECTIVE DISTRIBUTED GENERATORS AND D-STATCOM SITTING AND SIZING BY MODIFIED PARTICLE SWARM OPTIMIZATION

Abstract: This paper presents an algorithm based on Multi-objective modified Particle Swarm Optimization (MOMPSO) for determining optimal locations and optimal sizes of distributed generators and D-STATCOM units simultaneously. The problem has been solved by considering multiple objective functions of minimization of power loss, minimization of cost function and minimization of deviation of bus voltage. Sensitivity analysis is used to identify the candidate locations for installing DG and D-STATCOM units. The MOMPSO algorithm is used to find the optimal size of these units by considering the minimization of objective function subjected to practical constraints. The proposed algorithm has been tested on IEEE-33 and IEEE-69 test systems and results are presented.

Keywords: Distributed Generators (DGs), D-STATCOM, Multi objective function, modified particle swarm optimization, Sensitivity analysis.