基于主从博弈的综合能源系统优化调度策略  

Optimal scheduling strategy of integrated energy system based on master-slave game

作　　者：陈卓 曹峻熙 谭银华 赵晨溪 胡文金[1] CHEN Zhuo;CAO Junxi;TAN Yinhua;ZHAO Chenxi;HU Wenjin(Chongqing University of Technology and Science,Chongqing 401331,China)

机构地区：[1]重庆科技学院,重庆401331

出　　处：《自动化与仪器仪表》2023年第8期195-199,共5页Automation & Instrumentation

基　　金：重庆市人工智能重大主题专项(cstc2017rgzn-zdy fx0024);重庆市高等教育教学改革研究重大项目(211026);重庆市研究生教育教学改革研究项目(yjg213132)。

摘　　要：以综合能源系统为研究对象,建立了以综合能源系统运营商为领导者,负荷聚合商为跟随者的主从博弈模型,并使用改进的混沌阿基米德优化算法求解该模型。依据该模型,综合能源系统运营商需根据用户用能情况对系统设备出力进行优化调度并向负荷聚合商制定能源价格,负荷聚合商根据能源价格对用户的用能策略进行调整。仿真实例表明,该主从博弈模型能够有效增强可再生能源发电的消纳能力,可再生能源出力利用率提升了4.45%。Taking the integrated energy system as the research object,a master-slave game model with the integrated energy system operator as the leader and the load aggregator as the follower was established,and the improved chaotic Archimedes optimization algorithm was used to solve the model.According to the model,the operator of the integrated energy system needs to optimize the output of the system equipment and set the energy price to the load aggregator according to the user's energy consumption situation,and the load aggregator adjusts the user’s energy consumption strategy according to the energy price.Simulation examples show that the master-slave game model can effectively enhance the absorbability of renewable energy generation,and the output utilization rate of renewable energy is increased by 4.45%.

关 键 词：综合能源系统 热电联供 优化调度 主从博弈模型 阿基米德算法 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置] TM73[自动化与计算机技术—控制科学与工程]