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Next-generation blockchain enabled smart grid: Conceptual framework, keytechnologies and industry practices review

作     者:Shekh S.Uddin Rahul Joysoyal Subrata K.Sarker S.M.Muyeen Md.Firoj Ali Md.Mehedi Hasan Sarafat Hussain Abhi Md.Robiul Islam Md.Hafiz Ahamed Md.Manirul Islam Sajal K.Das Md.Faisal R.Badal Prangon Das Zinat Tasneem 

作者机构:Department of Mechatronics EngineeringRajshahi University of Engineering&TechnologyRajshahi 6204Bangladesh Department of Electrical EngineeringQatar UniversityQatar 

出 版 物:《能源与人工智能(英文)》 (Energy and AI)

年 卷 期:2023年第12卷第2期

页      面:187-205页

核心收录:

学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:Qatar National Library  QNL 

主  题:Blockchain Smart grid energy system Smart contract 

摘      要:Technological advancements in smart grid energy systems (SGESs) are introducing sustainable frameworksto meet the demand for the fourth industrial energy revolution. These frameworks are planned to be usedin the forthcoming future to maintain the energy network operation with optimization, energy trading, gridautomation, and so on. Blockchain (BCn), developing after passing a diverse period of the research journey,comes to the mind of researchers and its integration in SGES paves the way to reach the goal of energydemand. However, still of interest is ongoing in the improvement of BCn features which can be regarded asthe next-generation blockchain framework. This paper exhibits the technical framework of the next-generationBCn framework and explores its benefits and challenges in performing the emerging aspects of SGES. Thisframework enables some advanced features for the sustainable operation of SGES like smart metering, peer-topeer (P2P) energy trading, self-operation, and transparency. The technical explanation of this BCn technologyestablished on essential features and requisites is also presented in this paper from various points of viewwhich include smart mechanism, intelligent storage system, and interoperability. We also highlight the recentprogress and limitations of the current BCn framework in SGES. Finally, some challenges towards integratingthe next-generation BCn technology in SGES are reported. This work can provide extended support for thepractitioner and researcher in the context of BCn technology and SGES.

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