F. Deng, Dexin Meng, Z. Deng, Hujun Li, Jianan Si, Junpeng Zhu
{"title":"Study on Master-Slave Game Strategy of Integrated Energy System Considering Users Demand Response and Energy Balance","authors":"F. Deng, Dexin Meng, Z. Deng, Hujun Li, Jianan Si, Junpeng Zhu","doi":"10.1109/ICPES56491.2022.10073132","DOIUrl":null,"url":null,"abstract":"The traditional single form of energy supply can no longer meet the needs of development. The integrated energy system has significant advantages in improving the energy utilization rate, but the participation of multiple subjects brings some difficulties to the operation optimization of the system. In this paper, a park-level integrated energy system composed of integrated energy operators and users is proposed and their benefit models are constructed, and the users' model is linearized. Since they influence each other when pursuing the maximum of their own interests, the master-slave game idea is adopted to analyze the interaction mechanism of them, and the particle swarm optimization algorithm and linear programming are used to solve the problem. Finally, the feasibility of the proposed method is verified by simulation.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Power and Energy Systems (ICPES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPES56491.2022.10073132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The traditional single form of energy supply can no longer meet the needs of development. The integrated energy system has significant advantages in improving the energy utilization rate, but the participation of multiple subjects brings some difficulties to the operation optimization of the system. In this paper, a park-level integrated energy system composed of integrated energy operators and users is proposed and their benefit models are constructed, and the users' model is linearized. Since they influence each other when pursuing the maximum of their own interests, the master-slave game idea is adopted to analyze the interaction mechanism of them, and the particle swarm optimization algorithm and linear programming are used to solve the problem. Finally, the feasibility of the proposed method is verified by simulation.