Review of the Digital Twin Technology Applications for Electrical Equipment Lifecycle Management

Abstract

Digital twin is one of the emerging technologies for the digital transformation of the power industry. Many existing studies claim that the widespread application of digital twins will shift the industry to a principally new level of development. This article provides an extensive overview of the industrial application experience of digital twin technologies for solving the problems of modern power systems with a particular focus on the task of high-voltage power equipment lifecycle management. The latter task contours one of the most promising areas for the application of the digital twins in the power industry since it requires deep analysis of the technological processes dynamics and the development of physical, mathematical and computer models that cover all the potential benefits of the digital twin technology. At the moment, there is a lack of reliable data on the problems of assessing and predicting the technical state of high-voltage power equipment. The use of digital twin technology in modern power systems will allow for aggregating data from a variety of real objects and will allow the automatization of collecting and processing of big data by implementing artificial intelligence methods, which will ultimately make it possible to manage the life cycle of the power equipment. The article puts to scrutiny the industrial experience of digital twins creation, considering the technical solutions suggested by the largest manufacturers of electrical equipment. A classification of digital twins, examples and main features of their application in the power industry, including the problem of managing the life cycle of high-voltage electrical equipment, are considered and discussed.

Determination of regression coefficient for numerical models of adsorption isotherms

“…However, although that the Stoichiometric Equilibrium 2 and Dual-site Langmuir 2 isotherms coincide with the experimental isotherm in the considered section of the isotherm at concentrations in the range of 1,15 g/m 3 , they do not tend to the value of 182 g/m 3 , which is the equilibrium static activity of ethyl alcohol on activated carbon. The limit of the isotherm Langmuir -Freundlich 2 at given coefficients is 182 g/m 3 . From this, it can be seen that the Langmuir -Freundlich 2 adsorption isotherm, shown in figure 2, coincides most accurately with the experimental graph.…”

“…The automation and digitalization of contemporary technological processes necessitate the utilization of various digital technologies, such as artificial intelligence (AI), big data, and machine learning [1,2]. To address a multitude of challenges, the concept of "digital twins" has been introduced for real-world systems [3]. Digital twins are essentially mathematical models that facilitate the simulation of specific processes occurring within a given system through the use of diverse software environments [4].…”

Query-and-Response Digital Twin Framework using a Multi-domain, Multi-function Image Folio

“…Unlike traditional simulation models, a DT can adapt and self-adjust using real-time data from the PT [23]. This selfregulating capability is enabled by the feedback mechanisms that continuously transmit measurements from the PT, enabling the DT to dynamically respond to real-time changes and conditions in the operational environment of the PT.…”

Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity

“…Digital twin technology is a powerful tool that has recently gained popularity in the energy industry, particularly in MGs. A digital twin is a virtual replica of a physical asset, process, or system, which can be used to model and optimize its performance in real time [163][164][165]. In the context of MGs, digital twin technology can provide insights into the grid's behavior, enable predictive maintenance, and optimize energy management strategies.…”