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AuthorSifat, Md. Mhamud Hussen
AuthorChoudhury, Safwat Mukarrama
AuthorDas, Sajal K.
AuthorAhamed, Md. Hafiz
AuthorMuyeen, S.M.
AuthorHasan, Md. Mehedi
AuthorAli, Md. Firoj
AuthorTasneem, Zinat
AuthorIslam, Md. Manirul
AuthorIslam, Md. Robiul
AuthorBadal, Md. Faisal R.
AuthorAbhi, Sarafat H.
AuthorSarker, Subrata K.
AuthorDas, Prangon
Available date2023-02-26T08:29:57Z
Publication Date2023
Publication NameEnergy and AI
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.egyai.2022.100213
URIhttp://hdl.handle.net/10576/40365
AbstractThe major hindrances in the energy system are ecological consciousness, lack of clean and sustainable energy management, insufficient energy distribution-transmission-optimization, expensive power transfer costs, and increased customer knowledge of energy charges. Thus why, universal access to the grid with high cybersecurity, and reliability is needed to solve all these challenges. The digital twin concept turns a new dimension of technology into the world. Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. Thus, the power grid transmission loss and location of the overheated line and power connection missing can be detected in addition decision-making and self-healing can possible. The future prediction saves the power grid from small to long accidents such as power outages and even blackout problems. The whole consumers and nation feel relief from these types of accidents and saves from large economic and business loss. The blockchain-enabled digital twin grid provides high security for the grid from cyberattacks. The paper conveys the framework of the electric digital twin grid and the concept of the DT grid processing and the way of serving the producer, prosumers, consumers even the whole nation in infrastructure, education, research, economic, business, and political development. 2022 The Author(s)
SponsorThe publication of this article was funded by Qatar National Library, Qatar .
Languageen
PublisherElsevier B.V.
SubjectCloud platform of grid
Cybersecurity
Electric digital twin grid
Online analysis of grid
Real-time grid analysis
Self-healing
TitleTowards electric digital twin grid: Technology and framework review
TypeArticle Review
Volume Number11
dc.accessType Open Access


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