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面向电/热/气多能源系统的数字孪生模型及其优化运行策略研究 被引量:2

A digital twin model for electricity/heat/gas multi-energy systems and its optimal operation otrategy
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摘要 针对多能源系统中能源供给设备、电/热/气负荷等全方位数据处理与计算需求的增加,使得电/热/气多能源系统愈加难以实现高效、精准运行的问题,文章提出了一种基于数字孪生技术的电/热/气多能源系统优化运行策略。首先,通过分析数字孪生技术所具备的优势,提出基于电/热/气多能源系统的数字孪生控制框架,并建立“物理实体层-网络通讯层-运行服务层”三者协同的多能源系统优化运行机制;其次,通过分析系统内各能源供给设备运行特性,建立电/热/气系统能源供给设备物理感知模型;再次,建立考虑运行成本、环境成本最优的电/热/气多能源系统优化运行模型,并对优化模型进行求解;最后,搭建电/热/气多能源系统数字孪生仿真模型进行分析。研究结果表明,文章提出的优化策略能够有效提高电/热/气多能源系统数据信息处理能力,并降低系统的运行成本。 In view of the problem that it is increasingly difficult to achieve efficient and accurate operation of electricity/heat/gas multi-energy systems due to the increased demand for comprehensive data processing and calculation of energy supply equipment and electricity/heat/gas loads,a coordinated and optimized operation strategy for electricity/heat/gas multi-energy systems based on digital twin technology is proposed in this paper.Firstly,by analyzing the advantages of digital twin technology,a digital twin control model of the electricity/heat/gas multi-energy system is proposed,and a multi-energy system optimized operation mechanism of"physical entity layer-network communication layer-operation service layer"is established.Secondly,by analyzing the operating characteristics of each energy supply equipment in the system,the energy supply equipment physical perception model of the electricity/heat/gas multi-energy system is established.Then,an optimal operation model of the electricity/heat/gas multi-energy system is established with the optimal system operation cost and environmental cost,and the optimization model is solved.Finally,a digital twin simulation model of the electricity/heat/gas multi-energy system is established for analysis.The results show that the optimization strategy proposed in this paper can effectively improve the data and information processing capability of the electricity/heat/gas multi-energy system.It also can reduce the operation cost of the system.
作者 陈远东 孟辉 张海龙 史文江 张超 邵文国 尹逊玉 顾大可 Chen Yuandong;Meng Hui;Zhang Hailong;Shi Wenjiang;Zhang Chao;Shao Wenguo;Yin Xunyu;Gu Dake(Inner Mongolia Ultra High Voltage Branch of State Grid East Inner Mongolia Electric Power Co.,Ltd.,Xilinhot 026099,China;Northeast Electric Power University,Jilin 132012,China)
出处 《可再生能源》 北大核心 2025年第6期820-828,共9页 Renewable Energy Resources
基金 国网内蒙古东部电力有限公司科技项目(SGMDJX00YJJS2100278)。
关键词 多能源 数字孪生 优化运行 物理信息 协调框架 multi-energy digital twin optimized operation physical information coordination framework
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