Hao Jiao, Jinming Chen, Xindong Zhao, Yajuan Guo, Yezhou Yang
{"title":"Coordinated Transmission and Distribution Optimal Power Flow with Carbon Constraints","authors":"Hao Jiao, Jinming Chen, Xindong Zhao, Yajuan Guo, Yezhou Yang","doi":"10.1109/SPIES55999.2022.10082694","DOIUrl":null,"url":null,"abstract":"With the access of distributed new energy sources and loads, the coupling relationship between the transmission and the distribution network is greatly enhanced. In order to adapt to the increasing coupling relationship between transmission and distribution, this paper proposes a generalized global optimization model for transmission and distribution. Considering the carbon reduction requirements of the power industry in the context of carbon peak and carbon neutral, the coordinated transmission and distribution optimal power flow (TDOPF) model with carbon emission constraints is proposed. Based on the different characteristics of the transmission and distribution network, the heterogeneous decomposition algorithm is used to solve the optimization model. The transmission and distribution network is alternately optimized. The auxiliary function is constructed by parameters such as boundary node voltage and injection power to ensure that the optimal conditions of the global network are satisfied. The numerical example test shows the proposed algorithm has great accuracy and convergence.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES55999.2022.10082694","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
With the access of distributed new energy sources and loads, the coupling relationship between the transmission and the distribution network is greatly enhanced. In order to adapt to the increasing coupling relationship between transmission and distribution, this paper proposes a generalized global optimization model for transmission and distribution. Considering the carbon reduction requirements of the power industry in the context of carbon peak and carbon neutral, the coordinated transmission and distribution optimal power flow (TDOPF) model with carbon emission constraints is proposed. Based on the different characteristics of the transmission and distribution network, the heterogeneous decomposition algorithm is used to solve the optimization model. The transmission and distribution network is alternately optimized. The auxiliary function is constructed by parameters such as boundary node voltage and injection power to ensure that the optimal conditions of the global network are satisfied. The numerical example test shows the proposed algorithm has great accuracy and convergence.