Zhaoyang Yan, Ting Zhou, Hao Zhang, S. Dai, Xiao Li, Chaoqun Wang
{"title":"Real-time Carbon Flow Algorithm of Electrical Power Systems Based on Network Power Decomposition","authors":"Zhaoyang Yan, Ting Zhou, Hao Zhang, S. Dai, Xiao Li, Chaoqun Wang","doi":"10.1109/TOCS53301.2021.9688754","DOIUrl":null,"url":null,"abstract":"This paper put forward a real-time carbon flow algorithm of the electrical power system based on the network power decomposition and was intended to solve the limitations of the current method–the inability to guarantee the fair carbon flow allocation in the real-time operation of the system. In the study, the result of the alternating current (AC) power flow was input into the system, and then the loss of each subcircuit was equivalent to the virtual power supply or load. Next, a flexible and adjustable network loss distribution coefficient was introduced and the fair current tracing method was combined with the counter current tracing method to establish the bidirectional allocation model of the network loss carbon flow. Given that the hidden carbon emissions were caused by the deviation between the load and the power of the new energy, the new energy generating units were treated as loads, and the real-time power network was decomposed into the day-ahead planning power network and the real-time power deviation network for the power flow tracing and the carbon flow calculation, which solved problems such as: the hidden carbon flow was unevenly allocated and the carbon reduction contribution of the new energy units cannot be quantified. A 4-node system was used for the test, and the test results proved the correctness and effectiveness of the proposed method.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS53301.2021.9688754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper put forward a real-time carbon flow algorithm of the electrical power system based on the network power decomposition and was intended to solve the limitations of the current method–the inability to guarantee the fair carbon flow allocation in the real-time operation of the system. In the study, the result of the alternating current (AC) power flow was input into the system, and then the loss of each subcircuit was equivalent to the virtual power supply or load. Next, a flexible and adjustable network loss distribution coefficient was introduced and the fair current tracing method was combined with the counter current tracing method to establish the bidirectional allocation model of the network loss carbon flow. Given that the hidden carbon emissions were caused by the deviation between the load and the power of the new energy, the new energy generating units were treated as loads, and the real-time power network was decomposed into the day-ahead planning power network and the real-time power deviation network for the power flow tracing and the carbon flow calculation, which solved problems such as: the hidden carbon flow was unevenly allocated and the carbon reduction contribution of the new energy units cannot be quantified. A 4-node system was used for the test, and the test results proved the correctness and effectiveness of the proposed method.