Multi-objective optimization scheduling of microgrids containing electric vehicles
In order to maintain the stability of the power system,reduce fluctuations in the equivalent load of the regional power grid,and improve the integration capacity of renewable energy,a microgrid system model is established in this study.The model includes major equipment such as wind power units,photovoltaic systems,electric vehicles,and gas turbines.The objective function of the model is to minimize the comprehensive operating cost,maximize the benefits of electric vehicles,and minimize the variance of the equivalent load curve.The model is solved using an improved multi-objective particle swarm optimization algorithm,while satisfying various constraints such as equipment output and power balance.The effectiveness and rationality of the model are verified through simulation examples.
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