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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This study develops a novel, integrated MG optimization model that maximizes dual energy utilization—electricity and heat—through a hybrid photovoltaic-thermal (PV/T) and organic
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This paper proposes a multi-objective coordinated control and optimization system for PV microgrids.
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This study proposes an improved multi-objective particle swarm optimization (IMOPSO) algorithm for coordinated control and optimizing photovoltaic microgrid dispatch under grid
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From the perspectives of economy, low carbon, and safety in DC microgrids, a multiscenario optimization control method of low-voltage DC microgrids based on the nondominant
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Despite the advantages of PV systems, their power generation is significantly influenced by weather and diurnal variations. This study introduces a novel control mechanism designed to
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This approach helps to practical microgrid decision making and optimization of dynamic energy systems. The energy management process were also able to maximize photovoltaic
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The application of Adaptive Particle Swarm Optimization (APSO) has demonstrated favorable outcomes compared to existing PSO algorithms, enhancing control efficiency. In a grid-connected MG system,
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This paper proposed a comprehensive framework for the design and optimization of standalone solar PV DC microgrids with adaptive storage control for residential applications.
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Capabilities Modeling and simulation of microgrid systems on timescales of electromagnetic transients and dynamic and steady-state behavior Controller hardware-in-the-loop testing, where the physical
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