Stochastic optimization of integrated energy system considering demand-side response and vehicle-to-grid situation
To address the uncertainties arising from high proportions of renewable sources such as wind and photovoltaics in intergrated energy systems,along with the challenges posed by the uncoordinated charging of electric vehicles on the stable operation of the system,proposes a stochastic optimization scheduling method that incorporates demand-side response and the integration of electric vehicles into the grid.The goal of this method is to optimize the operation of the integrated energy system.Loads are categorized based on their load characteristics,and a demand-side response model for user loads is established.Utilizing historical data characterized by uncertain factors,the scenario-based method is employed to generate representative scenarios.With the economic operation of the integrated energy system as the objective,a stochastic optimization model for the integrated energy system is established.The effectiveness of this optimization model is assessed through numerical analysis.Research outcomes indicate that the proposed optimization model significantly reduces the fluctuations in load peaks and valleys,enhances the stability of system operation,and reduces overall operational costs.
integrated energy systemscenario analysisdemand-side responsestochastic optimizationelectric vehiclespeak shaving and valley filling
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