{"title":"Blockchain-based microgrid market and trading mechanism","authors":"Huan Li, N. Nair","doi":"10.1109/AUPEC.2018.8757870","DOIUrl":null,"url":null,"abstract":"In this study we proposed a Blockchain-based distributed power generation trading system and its trading mechanism. By utilizing the linear supply bidding we prove that a market under assumption has a competitive equilibrium where each generator within the microgrid maximizes its profit, each load’s demand is fulfilled and the welfare of whole microgrid has been maximized. Additionally we introduced a distributed supply bidding algorithm to solve the global welfare optimization. Last but not least, we designed a trading system architecture where each market participant is abstracted as a virtual agent and continuously interacting with each other by exchanging information through a smart power contract. Combining with our distributed algorithm, the microgrid market can reach its competitive equilibrium gradually. A numerical study is conducted on a simplified microgrid to demonstrate the effectiveness of our study.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Australasian Universities Power Engineering Conference (AUPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUPEC.2018.8757870","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this study we proposed a Blockchain-based distributed power generation trading system and its trading mechanism. By utilizing the linear supply bidding we prove that a market under assumption has a competitive equilibrium where each generator within the microgrid maximizes its profit, each load’s demand is fulfilled and the welfare of whole microgrid has been maximized. Additionally we introduced a distributed supply bidding algorithm to solve the global welfare optimization. Last but not least, we designed a trading system architecture where each market participant is abstracted as a virtual agent and continuously interacting with each other by exchanging information through a smart power contract. Combining with our distributed algorithm, the microgrid market can reach its competitive equilibrium gradually. A numerical study is conducted on a simplified microgrid to demonstrate the effectiveness of our study.