Yu Liu, Xinmei Wang, Songda Li, Lili Liu, Yi Zhao, Ming Yu
{"title":"Demand Response Model of Low-Carbon Economy in Integrated Energy System Based on Carbon Flow Traceability","authors":"Yu Liu, Xinmei Wang, Songda Li, Lili Liu, Yi Zhao, Ming Yu","doi":"10.1002/eng2.70097","DOIUrl":null,"url":null,"abstract":"<p>With the gradual liberalization of the carbon market and distributed trading market, the economic incentive trading market mechanism has become an effective way to promote carbon emission reduction in microgrids. At present, most of the existing studies on the low-carbon operation of integrated energy systems focus on the source side and rarely extend to the load side, and do not consider the demand response characteristics of different loads. Therefore, based on the carbon flow tracing method of the power system, this paper presents a model to adjust the load side operating state of the power system by using price incentive. Firstly, the carbon flow tracing model of the integrated energy system is established, and carbon flow indexes such as node carbon potential are obtained. At the same time, considering different load types, the carbon reduction response mechanism of two loads is established through carbon trading. On this basis, according to the carbon flow index, the two-stage optimal scheduling model of the power network with the coordination and interaction between the two sides of the source and load is established and solved. The simulation results show that the model combines carbon trading and demand response, which can effectively reduce carbon emissions and significantly improve the environmental benefits of the system.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 4","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70097","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering reports : open access","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eng2.70097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
With the gradual liberalization of the carbon market and distributed trading market, the economic incentive trading market mechanism has become an effective way to promote carbon emission reduction in microgrids. At present, most of the existing studies on the low-carbon operation of integrated energy systems focus on the source side and rarely extend to the load side, and do not consider the demand response characteristics of different loads. Therefore, based on the carbon flow tracing method of the power system, this paper presents a model to adjust the load side operating state of the power system by using price incentive. Firstly, the carbon flow tracing model of the integrated energy system is established, and carbon flow indexes such as node carbon potential are obtained. At the same time, considering different load types, the carbon reduction response mechanism of two loads is established through carbon trading. On this basis, according to the carbon flow index, the two-stage optimal scheduling model of the power network with the coordination and interaction between the two sides of the source and load is established and solved. The simulation results show that the model combines carbon trading and demand response, which can effectively reduce carbon emissions and significantly improve the environmental benefits of the system.