{"title":"点对点市场中电力与可再生能源证书联合交易方法","authors":"Tengfei Ma;Wei Pei;Hao Xiao;Yanhong Yang;Li Ma","doi":"10.1109/TSG.2024.3493194","DOIUrl":null,"url":null,"abstract":"A novel peer-to-peer joint power & renewable energy certificate trading method is proposed to reflect the power & environment values of renewable power simultaneously, as well as promote the on-site utilization. Firstly, the P2P power trading and Renewable Energy Certificate (REC) trading market models are proposed respectively considering their coupling relationships. Secondly, the P2P joint power and REC trading market model is formulated as a centralized optimization problem from the perspective of social welfare maximization in the distribution network level. Thirdly, the centralized optimization model is decomposed into local optimization problems and a distributed interactive algorithm based on Alternating Direction Method of Multipliers is proposed to clear the joint power and REC market, as well as protect the privacy of each participant. Lastly, case studies are performed on the modified IEEE 15-node and 69-node distribution networks to demonstrate the effectiveness of the proposed method, in terms of improvement of social welfare, promotion of renewable power local consumption, and environmental value expression of renewable power.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1604-1618"},"PeriodicalIF":8.6000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Joint Power and Renewable Energy Certificate Trading Method in the Peer-to-Peer Market\",\"authors\":\"Tengfei Ma;Wei Pei;Hao Xiao;Yanhong Yang;Li Ma\",\"doi\":\"10.1109/TSG.2024.3493194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel peer-to-peer joint power & renewable energy certificate trading method is proposed to reflect the power & environment values of renewable power simultaneously, as well as promote the on-site utilization. Firstly, the P2P power trading and Renewable Energy Certificate (REC) trading market models are proposed respectively considering their coupling relationships. Secondly, the P2P joint power and REC trading market model is formulated as a centralized optimization problem from the perspective of social welfare maximization in the distribution network level. Thirdly, the centralized optimization model is decomposed into local optimization problems and a distributed interactive algorithm based on Alternating Direction Method of Multipliers is proposed to clear the joint power and REC market, as well as protect the privacy of each participant. Lastly, case studies are performed on the modified IEEE 15-node and 69-node distribution networks to demonstrate the effectiveness of the proposed method, in terms of improvement of social welfare, promotion of renewable power local consumption, and environmental value expression of renewable power.\",\"PeriodicalId\":13331,\"journal\":{\"name\":\"IEEE Transactions on Smart Grid\",\"volume\":\"16 2\",\"pages\":\"1604-1618\"},\"PeriodicalIF\":8.6000,\"publicationDate\":\"2024-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Smart Grid\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10777014/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10777014/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A Joint Power and Renewable Energy Certificate Trading Method in the Peer-to-Peer Market
A novel peer-to-peer joint power & renewable energy certificate trading method is proposed to reflect the power & environment values of renewable power simultaneously, as well as promote the on-site utilization. Firstly, the P2P power trading and Renewable Energy Certificate (REC) trading market models are proposed respectively considering their coupling relationships. Secondly, the P2P joint power and REC trading market model is formulated as a centralized optimization problem from the perspective of social welfare maximization in the distribution network level. Thirdly, the centralized optimization model is decomposed into local optimization problems and a distributed interactive algorithm based on Alternating Direction Method of Multipliers is proposed to clear the joint power and REC market, as well as protect the privacy of each participant. Lastly, case studies are performed on the modified IEEE 15-node and 69-node distribution networks to demonstrate the effectiveness of the proposed method, in terms of improvement of social welfare, promotion of renewable power local consumption, and environmental value expression of renewable power.
期刊介绍:
The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.