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Fuzzy control-based energy management system for interconnected residential microgrids using the forecasts of power generation and load demand

Abstract:

The continuous growth of residential rooftop photovoltaic systems carries with it the problem of the penetration of renewable energy in the utility network, which can lead to its saturation. For this reason, the efficient use of the generated renewable power is of great interest today. This paper presents an energy management system design based on fuzzy logic control to perform the power exchange between two neighboring interconnected residential grid-connected microgrids to reduce the power supply by the mains. Each of the microgrids comprises rooftop photovoltaic generation and energy storage systems. The proposed strategy uses generation and demand forecasts for power-sharing from the microgrid with excess energy to the energy deficit microgrid. Simulation results show the improved performance of the proposed energy management compared to each microgrid's behavior when they do not share power.