With the increasing penetration of renewable energy in power systems, the multi-objective optimal scheduling of microgrids has become increasingly complex. Traditional optimization
In this regard, a multi-objective optimization scheduling model for microgrids in grid-connected mode is proposed, which comprehensively considers the operational costs and environmental protection
In view of the negative impact on the stable operation of the system caused by the disorderly charging of large-scale electric vehicles connected to the microgrid, an optimization
In this paper, we establish a stochastic multi-objective sizing optimization (SMOS) model for microgrid planning, which fully captures the battery degradation characteristics and the total carbon emissions.
In this paper, we propose a multi-objective sizing optimization method to optimize the economy-environmental comprehensive benefits of the grid-connected microg
This study presents a Multi-Objective Optimization of microgrid design with Hybrid Renewable Energy Sources for a Sustainable Environment.
With the increasing integration of Renewable Energy Sources (RESs) into the power grid, such as PV and Wind Turbines (WT), microgrids have emerged as a key solution for effectively managing and
This paper proposes a scenario-based multi-objective optimization model for grid-connected microgrid considering the cost and carbon emissions to realize the optimization of economy-environmental
A multi-strategy Improved Multi-Objective Particle Swarm Algorithm (IMOPSO) method for microgrid operation optimization is proposed for the coordinated optimization problem of microgrid
In this paper, a bi-objective optimal MG operation problem is developed to reduce the overall operating cost and environmental pollutant emission. To solve the proposed bi-objective
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