全球能源互联网2025，Vol.8Issue(3)：289-298,10.DOI:10.19705/j.cnki.issn2096-5125.2025.03.004
基于双层模型预测控制的建筑与社区综合能源系统主从博弈协调优化
Coordinated Optimization of Buildings and Integrated Community Energy Systems Through a Bi-level Model Predictive Control Method with Stackelberg Game
摘要
Abstract
A Stackelberg game-based coordination optimization approach is proposed for integrated community energy systems(ICES)based on a bi-level model predictive control(MPC)framework.Firstly,the thermal dynamic characteristics of the heating load for building users are modeled using a thermal resistance-capacitance network.Secondly,a bi-level MPC-based coordination optimization model for buildings and ICES is proposed.This model takes into account the disparate interests of ICES operators and building users while considering the uncertainties in forecasting data such as wind power and photovoltaic outputs,the price of purchasing energy from higher-level energy systems by ICES operators,outdoor temperature,and solar radiations.Finally,through numerical examples,the proposed approach is validated to effectively balance the divergent interests of ICES and building users and successfully address the uncertainties encountered in their coordinated operations.关键词
社区综合能源系统/建筑用户/热动态特性/主从博弈/模型预测控制/双层优化Key words
integrated community energy systems(ICES)/building users/thermal dynamics/Stackelberg game/model predictive control(MPC)/bi-level optimization分类
土木建筑引用本文复制引用
张桂红,李俊贤,张祥成,秦延宇,靳小龙..基于双层模型预测控制的建筑与社区综合能源系统主从博弈协调优化[J].全球能源互联网,2025,8(3):289-298,10.基金项目
国网青海省电力公司科技项目(SGHEJY00GHJS2200041). Science and Technology Foundation of State Grid Qinghai Electric Power Company(SGHEJY00GHJS2200041). （SGHEJY00GHJS2200041）
