This paper presents a two-stage optimization framework for long-term energy management in microgrids, aiming to efficiently integrate various energy sources, storage systems,
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This paper proposes a double-layer optimal configuration model of electric/thermal hybrid energy storage considering battery life loss, evaluates the investment benefit of energy storage, and reduces
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This paper studies the long-term energy management of a microgrid coordinating hybrid hydrogen-battery energy storage. We develop an approximate semi-empirical hydrogen storage
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ABSTRACT The concept of microgrids (MGs) as compact power systems, incorporating distributed energy resources, generating units, storage systems, and loads, is widely acknowledged
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To improve the accuracy of capacity configuration of ES and the stability of microgrids, this study proposes a capacity configuration optimization model of ES for the microgrid, considering
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The integration of photovoltaic (PV) systems with energy storage in microgrids is crucial for enhancing energy reliability and efficiency. However, the intermittent nature of solar energy poses
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Motivated by the research gaps, this paper proposes a prediction-free coordinated optimization framework for long-term energy management of microgrid with H-BES while incorporating the
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These results confirm the potential of combining deep learning with nature-inspired optimization to support intelligent, low-emission energy management in hydrogen-integrated microgrids.
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In response to the growing integration of renewable energy and the associated challenges of grid stability, this paper introduces an model predictive control (MPC) strategy for energy storage
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