Microgrids can assist in managing power supply and demand, increase grid resilience to adverse weather, increase the deployment of zero-emission energy sou...
In order to tackle these difficulties, a framework for dual-objective optimization was developed with the aim of improvi…
Safety, stability and efficiency, flexible energy flow, and both economic and environmental benefits are the basis for t…
In this paper, the improved particle swarm optimization algorithm is applied to solve the optimal dispatching model of i…
This study introduces a quantum particle swarm optimization (QPSO)-based framework to address the dual challenges of ope…
In this study, we propose a multi-objective particle swarm algorithm-based optimal scheduling method for household micro…
PSO is very effective in optimizing the capacity of solar panels, wind turbines, and energy storage devices in microgrid…
To offer an optimal solution for managing microgrids with hybrid renewable energy sources (HRESs) while taking microgrid…
Figure 1 summarizes the proposed methodological workflow, integrating system modeling and Particle Swarm Optimization (P…
The increasing complexity of microgrid energy management has driven extensive research into optimization models aimed at…
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