Optimization of cost and emission in a Renewable Energy micro-grid

The conventional sources and central generation systems are becoming outdated. Moreover, they don't seem to be capable of fulfilling the growing energy demand in future and are major cause of pollution and Green House effect. In recent years, Renewable Energy and Distributed Generation systems have become a hot topic and a lot of research is carried out in these fields. In this paper, a renewable energy micro-grid containing PV and wind energy sources with Micro-Turbine, Fuel cell, Battery and Grid as backup sources is studied. The total operational cost and emissions of the micro-grid(MG) are minimized to obtain the optimal power schedule of a day. For this purpose, a mixed integer non-linear programming (MINLP) method is used and results are compared with other programming algorithms like Particle Swarm optimization (PSO) and Genetic algorithm (GA).