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Proposes an intelligent energy management strategy that improves power quality in hybrid microgrids, suggesting enhancements over conventional methods.
The integration of renewable energy sources into microgrids presents challenges related to intermittency, load fluctuations, and system stability. This paper proposes an intelligent energy management strategy (EMS) for hybrid microgrids combining solar photovoltaic (PV), wind, and battery storage systems. The proposed strategy employs predictive control and real-time optimization to balance energy generation, storage, and demand, ensuring high reliability, cost-effectiveness, and energy efficiency. Simulation results demonstrate that the intelligent EMS significantly reduces operational costs and improves power quality compared to conventional rule-based strategies.
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Elkhatat et al. (2026) studied this question.
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