基于需求响应与Stackelberg博弈的小区综合能源系统优化调度OA

[Objectives]With the continuous growth of demand-side response resources,traditional energy scheduling models struggle to meet the system requirements of high penetration levels of renewable energy.To achieve the rational allocation of multiple energy sources within a community,this study proposes an energy trading strategy based on demand-side response from users,aiming to optimize energy scheduling in smart community.[Methods]For a residential community with multiple buildings,this study coordinates distributed photovoltaics,energy storage systems,and flexible loads.A two-stage scheduling optimization model is established using the Stackelberg game framework based on pricing interactions between community operators and user load aggregators.[Results]Simulation results show that,compared to the traditional heat-determined power strategy,the proposed model reduces operational costs by 40.22%and increases photovoltaic utilization by 22.57%.Compared to the conventional cost-optimal operation strategy,the proposed model results in a 29.66%reduction in operational costs and a 6.78%increase in photovoltaic utilization.[Conclusions]The proposed strategy demonstrates excellent performance in achieving equitable benefit distribution,mitigating power fluctuations,flexibly meeting peak-load demands,enhancing renewable energy integration,and ensuring grid operational security.