Efficient design of island load management in microgrid systems based on fuzzy logic

Sun and wind are not always present during the day. For this reason, photovoltaic and wind energy varies and cannot be used at all hours of the day. However, it is possible to extract and use hot water from the ground. In this study, a simulation of microgrid application was performed using a photovoltaic power system and thermoelectric generator sources. Since the hot water from the spa areas is available at any time of the day, the microgrid system is designed in a way that no battery is needed and the cost is reduced when the battery is removed from the system. The priorities of the classified loads were controlled by a fuzzy logic controller based on the generated power of the utilized energy sources. Loads are divided into primary, secondary, and third-priority loads, and the system is designed in such a way that there is no interruption of the primary load in all power generation conditions. When the generation power increased, the control system switched on the second and third loads according to the applied rules. No instability was observed in the system during the transition of the loads to the active- passive state. The energy balance between supply and demand in the microgrid system was successfully implemented in the Matlab/Simulink environment.