The stability and economic dispatch efficiency of photovoltaic (PV) microgrids is influenced by various internal and external factors, and they
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To mitigate the adverse impacts of the uncertainty of hydro-PV output on the actual operation of microgrid systems, this paper proposes a rolling optimization control method for HPS microgrids
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In this study, a fuzzy multi-objective framework is performed for optimization of a hybrid microgrid (HMG) including photovoltaic (PV) and wind energy sources linked with battery energy
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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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On this basis, a rolling optimization control method for HPS microgrid based on stochastic chance constraints is proposed. A novel multivariate scenario reduction method considering hydro
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The stability and economic dispatch efficiency of photovoltaic (PV) microgrids is influenced by various internal and external factors, and they require a well-designed optimization
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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 poor optimization and high life loss of battery energy storage systems (BESS) in microgrid grid-connected scenarios, this paper proposes a two-stage rolling optimization
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In Ref. [8], a multi-objective optimization model was proposed to solve the optimal operation of energy storage in a connected microgrid considering PV and WT generation
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In order to further reduce carbon emissions, a large number of distributed photovoltaics (PVs) are connected to customer sider, which can form microgrids (MGs) with high PV penetration
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