{"title":"基于区块链的电力系统碳可追溯性及碳调峰和碳中和目标下潮流计算研究","authors":"Heyang Sun, Chao Yang, Tong Li, Jinliang Song, Zhenjiang Lei, Yingli Zhang, Yang Liu, Yihan Hou","doi":"10.1109/IFEEA57288.2022.10038246","DOIUrl":null,"url":null,"abstract":"Against the background of increasing energy problems and climate change problems, the proposal of “carbon peaking and carbon neutrality” has accelerated the development of energy conservation, emission reduction and green low carbon. In order to realize the low-carbon development of China’s important energy sector-electric power industry, it is particularly important to carry out carbon traceability. Firstly, this paper constructs the equivalent architecture of blockchain and power system carbon traceability. Secondly, the carbon emission value is predicted by combining tracing results with graph neural network. This provides data support for the industrial structure adjustment and transformation of the power industry.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Carbon Traceability of Power System Based on Blockchain and Power Flow Calculation under Carbon Peaking and Carbon Neutrality Goals\",\"authors\":\"Heyang Sun, Chao Yang, Tong Li, Jinliang Song, Zhenjiang Lei, Yingli Zhang, Yang Liu, Yihan Hou\",\"doi\":\"10.1109/IFEEA57288.2022.10038246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Against the background of increasing energy problems and climate change problems, the proposal of “carbon peaking and carbon neutrality” has accelerated the development of energy conservation, emission reduction and green low carbon. In order to realize the low-carbon development of China’s important energy sector-electric power industry, it is particularly important to carry out carbon traceability. Firstly, this paper constructs the equivalent architecture of blockchain and power system carbon traceability. Secondly, the carbon emission value is predicted by combining tracing results with graph neural network. This provides data support for the industrial structure adjustment and transformation of the power industry.\",\"PeriodicalId\":304779,\"journal\":{\"name\":\"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFEEA57288.2022.10038246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFEEA57288.2022.10038246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Carbon Traceability of Power System Based on Blockchain and Power Flow Calculation under Carbon Peaking and Carbon Neutrality Goals
Against the background of increasing energy problems and climate change problems, the proposal of “carbon peaking and carbon neutrality” has accelerated the development of energy conservation, emission reduction and green low carbon. In order to realize the low-carbon development of China’s important energy sector-electric power industry, it is particularly important to carry out carbon traceability. Firstly, this paper constructs the equivalent architecture of blockchain and power system carbon traceability. Secondly, the carbon emission value is predicted by combining tracing results with graph neural network. This provides data support for the industrial structure adjustment and transformation of the power industry.