Multimicrogrid collaborative economic scheduling method based on the FISCO BCOS blockchain

Autor: Guilan Wang, Jingzheng Yang, Jian Di, Qiqi Zang, Guoliang Zhou
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: IET Generation, Transmission & Distribution, Vol 17, Iss 17, Pp 3883-3895 (2023)
Druh dokumentu: article
ISSN: 1751-8695
1751-8687
DOI: 10.1049/gtd2.12941
Popis: Abstract With the advancement of carbon peaking and carbon neutrality goals, microgrid clusters have attracted widespread attention due to their high stability and energy efficiency. This article proposes a scheduling architecture for microgrid clusters that integrates blockchain smart contracts, consensus mechanisms, and encryption technologies to address the issues of data trust, privacy protection, and security reliability in microgrid clusters. An economic adjustment model for microgrid clusters is constructed that combines economic and environmental objectives. Finally, based on the RPBFT (Rotating Proof of Believability) algorithm and group architecture of FISCO BCOS blockchain technology, an economic scheduling method for microgrid clusters is designed. The authors built a microgrid cluster model on the FISCO BCOS blockchain platform and conducted experiments on the effectiveness, economy, fault tolerance, and scalability of economic scheduling methods. The experimental results showed that the economic scheduling method proposed in this paper can effectively reduce the risk of nodes tampering with data in a microgrid cluster system, ensure the privacy of submicrogrids, and support the deployment of large‐scale microgrid clusters, the realization of multiparty collaborative autonomy and the stable, low‐carbon, economic operation of microgrid clusters.
Databáze: Directory of Open Access Journals
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