Optimal Power Generation in Microgrid System Using Particle Swarm Optimization

Abstract

This paper presents an application of Particle Swarm Optimization (PSO) algorithm for minimizing the total generation cost in microgrid system within 24 h. The microgrid system consists of conventional and renewable energy power plants are considered in this project. The main objective is to minimize the generation cost while satisfied the load demand and system constraints. This case study consists of three fuel cells, two diesel generators and two wind turbines. The proposed PSO algorithm has been simulated in Matlab software to determine optimal generation cost. The results are compared with other existing algorithms to validate performances of PSO in term of minimizing generation cost in microgrid. It found that the PSO algorithm gives the lower optimal cost compared to other methods.