Load balancing in decentralized smart grid trade system using blockchain
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seong, Kashif Inayata | - |
dc.contributor.author | Hwang, Seong Oun | - |
dc.date.available | 2020-07-10T04:40:33Z | - |
dc.date.created | 2020-07-06 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1064-1246 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/4752 | - |
dc.description.abstract | This paper presents a distributed Load Balancing Trade Framework (LBTF) with focus on demand response and Advanced Metering Infrastructure (AMI) security in smart grid. This comprehensive energy market model LBTF framework can achieve good balance in demand response in two ways. First way is utility-grid contract, which introduced a simple reward policy using distributed proof-of-work (PoW) consensus algorithm in Blockchain to motivate consumer to use less energy in peak hours. Through this policy consensus algorithm reward electric units to the consumers in peak hours. And in second way scheme introduce Micro-grid contract, which is a peer to peer (P2P) trade in global market. Those consumer (prosumer) who can generate energy using renewable resources can sell their surplus energy to other consumer through this contract. Furthermore, hash functions, public key encryption and digital signatures have been used to provide privacy preserving to the consumers and integrity to the stored data. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IOS PRESS | - |
dc.title | Load balancing in decentralized smart grid trade system using blockchain | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Hwang, Seong Oun | - |
dc.identifier.doi | 10.3233/JIFS-169832 | - |
dc.identifier.scopusid | 2-s2.0-85059471983 | - |
dc.identifier.wosid | 000459214900011 | - |
dc.identifier.bibliographicCitation | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, v.35, no.6, pp.5901 - 5911 | - |
dc.relation.isPartOf | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | - |
dc.citation.title | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | - |
dc.citation.volume | 35 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 5901 | - |
dc.citation.endPage | 5911 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.subject.keywordAuthor | Blockchain | - |
dc.subject.keywordAuthor | smart grid | - |
dc.subject.keywordAuthor | demand response | - |
dc.subject.keywordAuthor | security | - |
dc.subject.keywordAuthor | framework | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.