Multi-objective optimization of accommodating distributed generation considering power loss, power quality, and system stability

Abstract

This paper attempts to investigate the multi-objective optimization (MOO) of accommodating distributed generation (DG) based on a modified multi-objective particle swarm optimization algorithm (MMPSO). In view of the significance of economic operation, power quality and system stability, MOO model with physical, technical, and operational constraints for optimally accommodating DG has been established to minimize the total active power loss, the total voltage deviation, and the voltage stability index of the system. Due to the incompatibility between the objectives and the need for flexibility of solutions, instead of converting the multiple objectives into a single one, a MMPSO algorithm has been presented and testified, and then applied to MOO of accommodating DG in an IEEE-33 bus system. Simulation results reveal the advantage of the proposed MOO model and the effectiveness of applying MMPSO to MOO of accommodating DG in the distribution system.