发电技术2025，Vol.46Issue(2)：219-230,12.DOI:10.12096/j.2096-4528.pgt.24144
基于需求响应与Stackelberg博弈的小区综合能源系统优化调度
Optimization Scheduling of Integrated Energy Systems in Communities Based on Demand Response and Stackelberg Game
摘要
Abstract
[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.关键词
可再生能源/综合能源系统/需求侧响应/Stackelberg博弈/能源交易/调度策略/智能小区/功率互济Key words
renewable energy/integrated energy system/demand-side response/Stackelberg game/energy trading/scheduling strategy/smart community/power mutual support分类
能源与动力引用本文复制引用
侯朗博,孙昊,陈衡,高悦..基于需求响应与Stackelberg博弈的小区综合能源系统优化调度[J].发电技术,2025,46(2):219-230,12.基金项目
国家自然科学基金项目(52276006).Project Supported by National Natural Science Foundation of China(52276006). （52276006）
