The experimental power dispatch architecture is described and each operation stage is detailed, including the considered mathematical models of the energy resources, the database
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Therefore, this paper designs a double-layer HDQN framework in which the upper-layer agent is used for the charging and discharging decisions of energy storage devices, and the lower
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In this paper, we propose a double-layer optimization strategy based on the multi-point improved gray wolf algorithm (MPIGWO). The inner layer optimizes load profiles with time-of-use tariffs.
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The comprehensive optimization of economy and environmental protection of micro-grid is taken as the objective function of the first stage, and the minimum power unbalance is taken as the
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MPC uses historical data and real-time forecasting of future system states to identify optimal decisions for asset dispatch that satisfy the goals of an objective function such as least cost
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When multiple CCHP microgrids are integrated into an active distribution network (ADN), the microgrids and the distribution network serve as distinct stakeholders, making the economic
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Layer 1 through Layer 4 are referred to together as the MGCS. The primary purpose of Layer 1 through Layer 3 is to improve grid resiliency. Layer 4 is the only level devoted to non
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Microgrid cluster(MGC) consisting of multiple interconnected microgrids has great potential in improving microgrid reliability and reducing generating costs. The key to achieve global optimization and
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(1) A dual-layer optimal dispatching strategy of microgrid is proposed. The first-layer adjusts the load according to the microsource forecast power, adjusts the load output curve according to the
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This study proposed a multi-objective robust dispatch strategy to reduce the risks associated with the uncertainty of renewable energy source output and loads while promoting low
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