Rule-based-iterative Energy Management System for Islanded Hybrid Microgrid System

Abstract

The microgrid is seen as an alternative that will replace the conventional generator in the future. However, Energy Management System (EMS) is required to enable efficient energy sources within a Microgrid. While operating cost is essential in managing energies, another two important aspects that should be considered are the environmental aspect, specifically GHG emissions and technical aspects. However, the three aspects are always conflicting with one another, hence adding complexity to the EMS. In this paper, a Rule-based-Iterative EMS is proposed for an Islanded Microgrid which consists of photovoltaic (PV) array, tidal turbine (TT), diesel generator, and Li-ion battery storage. This study aims to obtain the optimal PV-TT-Battery size for minimum cost of energy, cost of GHG emission, and cost of power losses due to power electronic converters. The EMS model is verified through simulation. Results show that the optimal size for minimizing the cost of energy is two units of PV array, one unit of TT, and six battery units. As for minimizing the cost of GHG emission and cost of power loss, the optimal sizes are 2-2-5 and 1-1-1 for PV-TT-Battery combination. Thus, depending on the objective function, the power system planner can use this approach to find the best combination in the microgrid system.