Daxin Wang, Q. Zhang, Huahu Cui, Honghu Cheng, Xuemeng Zhang, Lei Fan
{"title":"A Precise Carbon Emission Model on Electricity Consumption Side with Carbon Emission Flow Theory","authors":"Daxin Wang, Q. Zhang, Huahu Cui, Honghu Cheng, Xuemeng Zhang, Lei Fan","doi":"10.1109/CEECT55960.2022.10030582","DOIUrl":null,"url":null,"abstract":"The measurement of carbon emissions on the customer side is a prerequisite for low-carbon dispatch and carbon trading, and the calculation of carbon emissions per kWh is a necessary condition for building a low-carbon power system. In this paper, we propose a refined measurement model for customer-side carbon emissions based on the carbon emission stream theory. Firstly, the tidal flow distribution in the distribution network is calculated by using the forward-back substitution method with distributed power sources. Secondly, the carbon potential vector, carbon potential factor, and correlation matrix of carbon flow at the distribution network side are calculated. According to the obtained calculation results, a fine-grained carbon emission calculation model for distribution network side including PV and energy storage is proposed to be constructed on the bases of carbon emission flow theory. This model can delineate the correlation between the carbon emissions of the generating units and the carbon flows of each load on the user side. Finally, the IEEE33 node and a 10 kV feeder model of a station area in Anhui Province are chosen as simulation objects. The adaptability and calculation speed of the distribution-side carbon flow calculation model is analyzed. The results show that the calculation model in this paper can solve the distribution-side carbon flow with energy storage and distributed power sources quickly and accurately.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT55960.2022.10030582","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 measurement of carbon emissions on the customer side is a prerequisite for low-carbon dispatch and carbon trading, and the calculation of carbon emissions per kWh is a necessary condition for building a low-carbon power system. In this paper, we propose a refined measurement model for customer-side carbon emissions based on the carbon emission stream theory. Firstly, the tidal flow distribution in the distribution network is calculated by using the forward-back substitution method with distributed power sources. Secondly, the carbon potential vector, carbon potential factor, and correlation matrix of carbon flow at the distribution network side are calculated. According to the obtained calculation results, a fine-grained carbon emission calculation model for distribution network side including PV and energy storage is proposed to be constructed on the bases of carbon emission flow theory. This model can delineate the correlation between the carbon emissions of the generating units and the carbon flows of each load on the user side. Finally, the IEEE33 node and a 10 kV feeder model of a station area in Anhui Province are chosen as simulation objects. The adaptability and calculation speed of the distribution-side carbon flow calculation model is analyzed. The results show that the calculation model in this paper can solve the distribution-side carbon flow with energy storage and distributed power sources quickly and accurately.