Blockchain Based Intelligent Distributed Electrical Energy Systems: Needs, Concepts, Approaches and Vision

Jun Zhang, Wen Zhong Gao, Ying Chen Zhang, Xin Hu Zheng, Liu Qing Yang, Jun Hao, Xiao Xiao Dai

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

Intelligent distributed electrical energy systems (IDEES) are featured by vast system components, diversifled component types, and difficulties in operation and management, which results in that the traditional centralized power system management approach no longer flts the operation. Thus, it is believed that the blockchain technology is one of the important feasible technical paths for building future large-scale distributed electrical energy systems. An IDEES is inherently with both social and technical characteristics, as a result, a distributed electrical energy system needs to be divided into multiple layers, and at each layer, a blockchain is utilized to model and manage its logic and physical functionalities. The blockchains at difierent layers coordinate with each other and achieve successful operation of the IDEES. Speciflcally, the multi-layer blockchains, named "blockchain group", consist of distributed data access and service blockchain, intelligent property management blockchain, power system analysis blockchain, intelligent contract operation blockchain, and intelligent electricity trading blockchain. It is expected that the blockchain group can be self-organized into a complex, autonomous and distributed IDEES. In this complex system, frequent and in-depth interactions and computing will derive intelligence, and it is expected that such intelligence can bring stable, reliable and efficient electrical energy production, transmission and consumption.

Original languageEnglish (US)
Pages (from-to)1544-1554
Number of pages11
JournalZidonghua Xuebao/Acta Automatica Sinica
Volume43
Issue number9
DOIs
StatePublished - Sep 2017
Externally publishedYes

Keywords

  • Blockchain
  • Distributed electrical energy systems
  • Distributed intelligent systems
  • Renewable energy

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