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Optimization of a photovoltaic/wind/battery energy-based microgrid in
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Dynamic Rolling Horizon-Based Robust Energy Management for
The analysis reveals that in particular, the time-dependent nature of the photovoltaic (PV) uncertainty as well as the uncertain EV demand is responsible for the majority of the improvements of the rolling
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We aim to economically and locally solve the problem of grid-connected power fluctuations of microgrid. In this paper, a novel rolling optimization strategy considering grid-connected power
A two-layer optimal scheduling method for microgrids
To address this problem, a novel two-layer rolling optimization framework for microgrids based on adaptive stochastic model predictive control
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This paper presents a novel optimization framework for the coordinated operation of hybrid photovoltaic and Small Modular Reactor microgrids, incorporating battery and hydrogen storage for enhanced
Multi-objective coordinated control and optimization for
This study can help in addressing optimal scheduling challenges of PV microgrid leading to enhanced utilization of PV energy, reduced operating
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To address these challenges, we propose a two-layer rolling optimization framework with multi-time scale scheduling for CCHP microgrid systems. First, wind and photovoltaic power
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In order to address the impact of the uncertainty and intermittency of a photovoltaic power generation system on the smooth operation of the power system, a microgrid scheduling model
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To address the challenges of high output volatility in PV generation and the complex regulation requirements of energy storage systems, this study
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