考虑挖掘空调集群调节潜力的商业园区混合博弈微网调度优化  

Mixed Game Microgrid Scheduling Optimization for Business Parks Considering Exploring the Regulation Potential of Air Conditioning Clusters

作　　者：韩晓娟[1] 张大智 靳语涵 于千傲 HAN Xiaojuan;ZHANG Dazhi;JIN Yuhan;YU Qian’ao(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;Customer Service Center,State Grid Beijing Electric Power Company,Beijing 100031,China)

机构地区：[1]华北电力大学控制与计算机工程学院,北京102206 [2]国网北京电力公司客服中心,北京100031

出　　处：《电力科学与工程》2025年第3期20-29,共10页Electric Power Science and Engineering

基　　金：国家自然科学基金资助项目(52277216)。

摘　　要：为发挥空调系统可调资源的潜力,促进能源供给侧和需求侧之间的协同优化控制,达到降本增效的目标,针对商业园区微网提出了混合博弈优化控制方法。分析了空调功率、能效比和制冷成本之间的相关关系,挖掘了表征空调集群调节潜力的最优运行区间,构建了基于空调集群调节潜力的商业园区多智能体双层混合博弈优化调度框架。提出“用户平均舒适度差”概念,并以综合运行成本最小和空调集群用户平均舒适度差最小为目标,建立了上层合作博弈模型;以各空调子集群自身运行成本、实际制冷量与需求制冷量之差最小为目标,建立了下层非合作博弈模型。利用多目标粒子群优化和Cplex对上述模型进行求解。以某商业园区微网系统实际运行数据进行验证。结果表明,所建立的双层混合博弈模型能够协调调度商业园区内部各类灵活性资源,使系统运行成本降低了35.89%,用户平均舒适度差降低了51.92%,可再生能源利用率提高了2.6%。In order to utilize the potential of the adjustable resources of air conditioning systems,promote the synergistic optimal control between the energy supply side and demand side,and achieve the goal of cost reduction and efficiency improvement,a mixed game optimization and control methodology is proposed for microgrids in business parks.The correlations among air conditioning power,energy efficiency ratio and cooling cost are analyzed,and the optimal operating intervals characterizing the regulation potential of air conditioning clusters are explored,and a two-layer mixed game optimization and scheduling framework based on the regulation potential of air conditioning clusters in business parks is constructed.The concept of“average user comfort difference”is proposed,and the upper cooperative game model is established with the objectives of minimizing the comprehensive operating cost and the average user comfort difference of air conditioning clusters,while the lower non-cooperative game model is established with the objectives of minimizing the operating cost of each air conditioning sub-cluster and the difference between the actual cooling capacity and the demanded cooling capacity.Multi-objective particle swarm optimization and Cplex are used to solve the above model.The actual operation data of a microgrid system in a business park is used for validation.The results show that the established two-layer mixed game model can coordinate the scheduling of all kinds of flexible resources within the business park,which reduces the system operation cost by 35.89%,reduces the average comfort difference of users by 51.92%,and increases the utilization rate of renewable energy by 2.6%.

关 键 词：商业园区微网 合作博弈 非合作博弈 空调集群 混合博弈 

分 类 号：TM734[电气工程—电力系统及自动化]