Ashwini D. Manchalwar, Nita R. Patne, Chaitali D. Morey, Sumanth Pemmada
{"title":"智能电网中基于消费者和零售商的分散式能源交易模型(考虑网络限制因素","authors":"Ashwini D. Manchalwar, Nita R. Patne, Chaitali D. Morey, Sumanth Pemmada","doi":"10.1016/j.ijepes.2024.110108","DOIUrl":null,"url":null,"abstract":"<div><p>The rapid integration of renewable energy sources and evolving consumer demands have transformed traditional electrical markets into prosumer-centric markets. In a prosumer-centric economy, prosumers exchange energy with one another on a peer-to-peer (P2P) basis. To emphasize P2P transactions, this study presents a decentralized P2P energy trading framework for direct interaction between market players such as prosumers and retailers in the community. Retailers are profit-based companies that are able to generate energy. They can also trade their energy with prosumers and the grid. The designed model respects the market participant’s preferences and gives them more options for energy transactions. Energy transactions between participants are transported through electrical networks. Hence, network constraints such as power losses and network access charges are considered in the presented model. The primary objective of the proposed model is to maximize the social welfare of the participants integrated with the network constraints. The performance of the developed model is evaluated on an IEEE 14-bus system. The simulation results ensure the efficient and global optimal solution with limited information flow between market participants.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524003296/pdfft?md5=c446fd306ae78493d279431dbb6a456b&pid=1-s2.0-S0142061524003296-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Prosumers and retailers based decentralized energy trading model in the smart grid considering network constraints\",\"authors\":\"Ashwini D. Manchalwar, Nita R. Patne, Chaitali D. Morey, Sumanth Pemmada\",\"doi\":\"10.1016/j.ijepes.2024.110108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The rapid integration of renewable energy sources and evolving consumer demands have transformed traditional electrical markets into prosumer-centric markets. In a prosumer-centric economy, prosumers exchange energy with one another on a peer-to-peer (P2P) basis. To emphasize P2P transactions, this study presents a decentralized P2P energy trading framework for direct interaction between market players such as prosumers and retailers in the community. Retailers are profit-based companies that are able to generate energy. They can also trade their energy with prosumers and the grid. The designed model respects the market participant’s preferences and gives them more options for energy transactions. Energy transactions between participants are transported through electrical networks. Hence, network constraints such as power losses and network access charges are considered in the presented model. The primary objective of the proposed model is to maximize the social welfare of the participants integrated with the network constraints. The performance of the developed model is evaluated on an IEEE 14-bus system. The simulation results ensure the efficient and global optimal solution with limited information flow between market participants.</p></div>\",\"PeriodicalId\":50326,\"journal\":{\"name\":\"International Journal of Electrical Power & Energy Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2024-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0142061524003296/pdfft?md5=c446fd306ae78493d279431dbb6a456b&pid=1-s2.0-S0142061524003296-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electrical Power & Energy Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142061524003296\",\"RegionNum\":2,\"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":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061524003296","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Prosumers and retailers based decentralized energy trading model in the smart grid considering network constraints
The rapid integration of renewable energy sources and evolving consumer demands have transformed traditional electrical markets into prosumer-centric markets. In a prosumer-centric economy, prosumers exchange energy with one another on a peer-to-peer (P2P) basis. To emphasize P2P transactions, this study presents a decentralized P2P energy trading framework for direct interaction between market players such as prosumers and retailers in the community. Retailers are profit-based companies that are able to generate energy. They can also trade their energy with prosumers and the grid. The designed model respects the market participant’s preferences and gives them more options for energy transactions. Energy transactions between participants are transported through electrical networks. Hence, network constraints such as power losses and network access charges are considered in the presented model. The primary objective of the proposed model is to maximize the social welfare of the participants integrated with the network constraints. The performance of the developed model is evaluated on an IEEE 14-bus system. The simulation results ensure the efficient and global optimal solution with limited information flow between market participants.
期刊介绍:
The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces.
As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.