A Blockchain-Enhanced Transaction Model for Microgrid Energy Trading
| Autor: | Huichao Ji, Jiawei Feng, Jingwei Yuan, Chinenye Ezeh, Cui Jia, Martin Onyeka Okoye, Junyou Yang, Zhenjiang Lei, Haixin Wang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Blockchain
Mains electricity General Computer Science Computer science Population transaction permission protocol 02 engineering and technology Permission Computer security computer.software_genre Transactive memory 0202 electrical engineering electronic engineering information engineering General Materials Science education education.field_of_study prosumers Node (networking) General Engineering block transaction speed 020206 networking & telecommunications Blockchain transaction microgrid 020201 artificial intelligence & image processing Microgrid lcsh:Electrical engineering. Electronics. Nuclear engineering Database transaction computer lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 143777-143786 (2020) |
| ISSN: | 2169-3536 |
| Popis: | In the power sector, microgrids play a supportive role in bridging the adequacy gap in the conventional electricity supply. Trading of the generated energy has recently been improved by blockchain technology which offers a new cheap, secure, and decentralized transaction approach. Its operation is however associated with an undesired inherent delay during energy transactions initiated by the prosumers, thus, failure to timely attend to incidences of urgent demand could end up in catastrophe at the consumer's side. This article thus proposes a cyber-enhanced transactive microgrid model using blockchain technology with optimized participants' permission protocol to ameliorate this challenge. It is demonstrated that the optimized blockchain participants' permission model leads to improved transaction speed and greater convenience. The transaction speed simulation is thereafter performed and it was also demonstrated that the node population has a greater effect than the transaction block size on the transaction speed improvement. |
| Databáze: | OpenAIRE |
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