Model Development for an Islanded Microgrid

Microgrids play a key role in the integration of renewable energies into the classical grid and, thus, reducing our reliance on fossil fuels. Interconnecting different types of distributed energy resources is a challenging task which requires proper control methods to be set up. Moreover, due to the dependency of renewable energies on different weather factors, smart optimization techniques must be employed for microgrids to make operational and economic sense. Simulation is an essential tool for developing and testing such algorithms, before deploying them in a real-world scenario. This paper presents a model of a small scale islanded microgrid, developed in MATLAB Simulink, used to simulate different control and optimization methods. Mixed Integer Linear Programming (MILP) is used as an example of a microgrid cost optimization method, which is validated using the developed model. The results presented show that the microgrid model as well as the optimization algorithm function as intended. This work serves as a starting point for further research.