{"title":"基于区块链的微电网市场与交易机制","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":"{\"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}","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}
Blockchain-based microgrid market and trading mechanism
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.