Comparison Study of Two Meta-heuristic Algorithms with their Applications to Distributed Generation Planning

In this paper, a distributed micro-grid planning model has been presented to optimize the locating and the unit capacities within distributed generation (DG) micro-grid, in which wind power and photovoltaic power are taken into consideration simultaneously. Optimal power balance is achieved through minimizing the cost-effectiveness rate under given financial constraints. Both Elitism Genetic Algorithm (EGA) and Particle Swarm Optimization (PSO) are employed for comparison study with optimizing the given DG optimization model. The results have shown that EGA has outperformed PSO in the case study.