Digital Twins for Electric Grids

Zolin, D. S.; Рыжкова, Е. Н.

doi:10.1109/rusautocon49822.2020.9208080

Cited by 11 publications

(2 citation statements)

References 4 publications

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“…Digital twins can be used to model their processes and objects and digital shadows. Articles on digital twins in power grids and energy distribution are devoted to the digital twins of energy facilities, e.g., the digital twin of a transformer [40] and the digital twin of electric grids [41]. 5.…”

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confidence: 99%

Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling

Kukushkin¹,

Ryabov²,

Боровков³

2022

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The digital twin has recently become a popular topic in research related to manufacturing, such as Industry 4.0, the industrial internet of things, and cyber-physical systems. In addition, digital twins are the focus of several research areas: construction, urban management, digital transformation of the economy, medicine, virtual reality, software testing, and others. The concept is not yet fully defined, its scope seems unlimited, and the topic is relatively new; all this can present a barrier to research. The main goal of this paper is to develop a proper methodology for visualizing the digital-twin science landscape using modern bibliometric tools, text-mining and topic-modeling, based on machine learning models—Latent Dirichlet Allocation (LDA) and BERTopic (Bidirectional Encoder Representations from Transformers). The scope of the study includes 8693 publications on the topic selected from the Scopus database, published between January 1993 and September 2022. Keyword co-occurrence analysis and topic-modeling indicate that studies on digital twins are still in the early stage of development. At the same time, the core of the topic is growing, and some topic clusters are emerging. More than 100 topics can be identified; the most popular and fastest-growing topic is ‘digital twins of industrial robots, production lines and objects.’ Further efforts are needed to verify the proposed methodology, which can be achieved by analyzing other research fields.

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mentioning

confidence: 99%

Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling

Kukushkin¹,

Ryabov²,

Боровков³

2022

Data

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“…A comprehensive overview is given in [6][7][8]. Furthermore, information about online applications can be found in [9] and applications related to control rooms and substations is provided in [10][11][12]. However, unlike the mentioned publications available, the DT presented in this paper focuses on a scaled power system as a whole, including every single component which is physically installed.…”

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confidence: 99%

Digital Twin Development of a Dynamic Hardware Emulator

et al. 2022

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The increasing deployment of new technologies to contribute to the decarbonization of power systems is imposing new challenges in terms of system dynamics and stability. To deal with different operating and control issues in this sense, and support actual needs, advanced tools and solutions are required. Therefore, this paper presents a digital twin of a dynamic hardware emulator that can be used for controller hardware in the loop (CHIL) testing and is based on a small-scale laboratory system. To build the simulation model, the parameters of involved synchronous machines, excitation systems, prime movers and transmission lines have been identified and then compared to laboratory measurements to assess the accuracy of the digital twin. Static and dynamic accuracy have been investigated and an overall good accuracy can be shown with the help of quantification of errors. Furthermore, a case study is presented where the digital twin was used to design a controller to damp inter-area oscillations with the help of wide area measurements. This controller was then implemented and tested within the dynamic hardware emulator in the laboratory.

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