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Smart grid mechanism for green energy management: A comprehensive review

journal contribution
posted on 2023-05-23, 02:51 authored by Adila Fakhar, Ahmed MA Haidar, MO Abdullah, Narottam DasNarottam Das
The smart grid is not a monolithic system, but rather is a collection of several renewable energy resources and enabling technologies in which, intelligent control is an integral part of its mechanism to improve the utilization of assets. The dynamic characteristics of a smart grid upgrade the conventional system requirements using advanced control strategies to provide continuous power to the load from intermittent renewable generation. The communication networks and control systems that enable the accommodation of distributed generation are crucial technologies in monitoring, protecting, and operating the smart grid in a centralized or decentralized manner. This paper improves the earlier published review articles by exploring the evolution of smart grids in light of renewable energy penetration with associated features. Then, the review gives an overview of notable research works in the literature aimed at developing the management and control of smart energy systems. The reader is provided with an in-depth analysis of advanced cloud computing, the internet of things, and blockchain technology with real examples for the related renewable energy projects in smart cities. Furthermore, a special interest has been paid to quantify the performance of communication technologies along with the protocols through the conceptual investigation of real cases using the optimized network engineering tools. The outcomes of the presented review can assist researchers to understand the driving mechanism of smart grid as a route to intelligently utilize renewable energy storage. It is concluded that the amalgamation of blockchain and artificial intelligence for renewable energy management is the key area where the avenue is still open for future research studies.

History

Volume

20

Issue

3

Start Page

284

End Page

308

Number of Pages

25

eISSN

1543-5083

ISSN

1543-5075

Publisher

Informa UK Limited

Language

en

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2022-01-31

External Author Affiliations

Universiti Malaysia Sarawak

Author Research Institute

  • Centre for Intelligent Systems

Era Eligible

  • Yes

Journal

International Journal of Green Energy

Article Number

ARTN 2038610

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