L. Li, Ting Lv, Zhi Zhang, Ziqiang Zhou, Ying Yao, Yong Yan, Yunchu Wang, Zhenzhi Lin
{"title":"Demand Response Transaction Framework Based on Blockchain and Secure Multi-party Computation","authors":"L. Li, Ting Lv, Zhi Zhang, Ziqiang Zhou, Ying Yao, Yong Yan, Yunchu Wang, Zhenzhi Lin","doi":"10.1109/AEEES56888.2023.10114253","DOIUrl":null,"url":null,"abstract":"With the development of system-level demand response transactions, diversified demand side resources are participating in the interaction with the power grid, which intensifies the problem of data mutual trust between power grid companies and users. In this regard, the potential data trust problems in the process of DR market clearing and load reduction calculation are analyzed, including data leakage and data abuse. Then, a DR transaction framework based on blockchain is proposed with secret sharing based secure multi-party computation adopted. For user different quotation modes, additive secret sharing algorithm is introduced for DR market clearing, and polynomial interpolation-based secret sharing algorithm is adopted for the trusted calculation of user load reduction. Under the proposed DR transaction framework based on blockchain and secure multi-party computation, data mutual trust problems between power grid companies and users can be properly solved.","PeriodicalId":272114,"journal":{"name":"2023 5th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES56888.2023.10114253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the development of system-level demand response transactions, diversified demand side resources are participating in the interaction with the power grid, which intensifies the problem of data mutual trust between power grid companies and users. In this regard, the potential data trust problems in the process of DR market clearing and load reduction calculation are analyzed, including data leakage and data abuse. Then, a DR transaction framework based on blockchain is proposed with secret sharing based secure multi-party computation adopted. For user different quotation modes, additive secret sharing algorithm is introduced for DR market clearing, and polynomial interpolation-based secret sharing algorithm is adopted for the trusted calculation of user load reduction. Under the proposed DR transaction framework based on blockchain and secure multi-party computation, data mutual trust problems between power grid companies and users can be properly solved.