However, air conditioning users'' decisions are highly uncertain, leading to a significant deviation in the scheduling process. Therefore, this paper proposes a microgrid multi-time scale rolling optimization
In order to balance the accuracy, economy and robustness of microgrid scheduling better, a multi-time scale optimal scheduling strategy for microgrids considering the uncertainty of source
In this paper, a new approach has been presented to schedule the energy resources in the microgrid considering optimal battery size. The addition of energy storage in the microgrid increases capital
In this paper, a two-layer optimal scheduling model for microgrids based on ASMPC is proposed to effectively capture the uncertainty of
This white paper focuses on tools that support design, planning and operation of microgrids (or aggregations of microgrids) for multiple needs and stakeholders (e.g., utilities, developers,
The scheduling accuracy and operational stability of microgrids are seriously affected as a result of the complexity of their multi-energy structure
This paper first establishes a microgrid model, including components such as energy storage, load, and distributed generation (DG). Then, we use a meta-reinforcement learning
This paper presents a novel approach for optimal power scheduling in a microgrid, aiming to provide uninterrupted power supply with improved
Owing to the volatility and intermittency of renewable energy generation units in microgrids, effective energy scheduling methods are
The purpose of this paper is to review the progress of intelligent optimal scheduling in new microgrids, and to discuss the technical challenges in multi-energy integration, real-time optimization,
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