{"title":"使用分布式模型预测控制的基于区块链的点对点能源交易","authors":"Manuel Sivianes, A. Zafra-Cabeza, C. Bordons","doi":"10.23919/ECC55457.2022.9838195","DOIUrl":null,"url":null,"abstract":"The energy network is experiencing a decentralizing process due to the recent inclusion of distributed energy resources (DERs), such as photovoltaics (PV), electric vehicles (EV), or batteries. This paradigmatic shift involves new challenges that require enhancing the electricity system's flexibility while preserving its integrity and stability. One way of dealing with them is by unbundling the electrical network into smaller, more manageable units, known as microgrids (MG). Nonetheless, the usage of distributed architectures leads to more exchanged data and control information between end agents, involving security or privacy issues. In this context, blockchain technology emerges as a feasible solution that promises transparent, tamper-proof, and safe systems in a decentralized ecosystem. This paper proposes a distributed energy management platform that takes full advantage of the blockchain technology to enable safe peer to peer (P2P) transactions. A Distributed model predictive control (DMPC) scheme is adopted, and its performance is compared with the centralized approach.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"22 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Blockchain-based peer to peer energy trading using distributed model predictive control\",\"authors\":\"Manuel Sivianes, A. Zafra-Cabeza, C. Bordons\",\"doi\":\"10.23919/ECC55457.2022.9838195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The energy network is experiencing a decentralizing process due to the recent inclusion of distributed energy resources (DERs), such as photovoltaics (PV), electric vehicles (EV), or batteries. This paradigmatic shift involves new challenges that require enhancing the electricity system's flexibility while preserving its integrity and stability. One way of dealing with them is by unbundling the electrical network into smaller, more manageable units, known as microgrids (MG). Nonetheless, the usage of distributed architectures leads to more exchanged data and control information between end agents, involving security or privacy issues. In this context, blockchain technology emerges as a feasible solution that promises transparent, tamper-proof, and safe systems in a decentralized ecosystem. This paper proposes a distributed energy management platform that takes full advantage of the blockchain technology to enable safe peer to peer (P2P) transactions. A Distributed model predictive control (DMPC) scheme is adopted, and its performance is compared with the centralized approach.\",\"PeriodicalId\":374682,\"journal\":{\"name\":\"2022 European Control Conference (ECC)\",\"volume\":\"22 9\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC55457.2022.9838195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC55457.2022.9838195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blockchain-based peer to peer energy trading using distributed model predictive control
The energy network is experiencing a decentralizing process due to the recent inclusion of distributed energy resources (DERs), such as photovoltaics (PV), electric vehicles (EV), or batteries. This paradigmatic shift involves new challenges that require enhancing the electricity system's flexibility while preserving its integrity and stability. One way of dealing with them is by unbundling the electrical network into smaller, more manageable units, known as microgrids (MG). Nonetheless, the usage of distributed architectures leads to more exchanged data and control information between end agents, involving security or privacy issues. In this context, blockchain technology emerges as a feasible solution that promises transparent, tamper-proof, and safe systems in a decentralized ecosystem. This paper proposes a distributed energy management platform that takes full advantage of the blockchain technology to enable safe peer to peer (P2P) transactions. A Distributed model predictive control (DMPC) scheme is adopted, and its performance is compared with the centralized approach.