{"title":"Impacts of DGs in Active Distribution Network Considering Bi-Directional Power Flow and Carbon Emission Flow Theory","authors":"Zhaoyuan Chai, Xinwei Shen, Hongbin Sun","doi":"10.1109/EI256261.2022.10117424","DOIUrl":null,"url":null,"abstract":"Power grid is facing a low-carbon transition and the carbon emission flow (CEF) theory has become a useful tool to simulate the carbon consumption clearly. Studies have shown that when distributed generators (DGs) connected to distribution network, assuming that either node receives power flow only from the upstream node, the carbon intensity (CI) of downstream node would be affected. However, the carbon intensity of the upstream node is also affected if there is a bi-directional power flow in the system. This article focuses on the impacts of DGs in active distribution network (ADN). By utilizing the graph and data from revised IEEE 33 bus system, we are capable of not only analyzing bi-direction power flow with corresponding CEF in ADN, with case studies illustrating the CI of each node and the line with reverse power flow, but also proposing a simple optimal dispatch model considering CEF modeling, which could be solved without iterative method thus distinguish from previous research on this issue.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI256261.2022.10117424","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
Power grid is facing a low-carbon transition and the carbon emission flow (CEF) theory has become a useful tool to simulate the carbon consumption clearly. Studies have shown that when distributed generators (DGs) connected to distribution network, assuming that either node receives power flow only from the upstream node, the carbon intensity (CI) of downstream node would be affected. However, the carbon intensity of the upstream node is also affected if there is a bi-directional power flow in the system. This article focuses on the impacts of DGs in active distribution network (ADN). By utilizing the graph and data from revised IEEE 33 bus system, we are capable of not only analyzing bi-direction power flow with corresponding CEF in ADN, with case studies illustrating the CI of each node and the line with reverse power flow, but also proposing a simple optimal dispatch model considering CEF modeling, which could be solved without iterative method thus distinguish from previous research on this issue.