Abstract
This article focuses on intelligent energy management in microgrid systems, providing a comprehensive control engineering perspective on power electronics-based operation. The proposed approach utilizes advanced control algorithms to optimize power flow, load balancing, and integration of renewable energy sources within the microgrid. This article proposes the integration of multiple control strategies to create a hybrid approach that overcomes their disadvantages and addresses the limitations of individual algorithms. We aim to achieve a more robust and adaptive microgrid control method by combining the strengths of different control techniques. This hybrid approach leverages the power electronics capabilities while mitigating their limitations.
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