Digital twins and their use in future power systems

Pálenský, Peter; Cvetković, Miloš; Gusain, Digvijay; Joseph, Arun

doi:10.12688/digitaltwin.17435.1

Cited by 30 publications

(14 citation statements)

References 59 publications

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“…In this paper various kinds of faults in the PV panels are considered. In [38], a monitoring system based on DT is proposed to predict the faults in a physical power converter within the digital model is entrenched by a controller. In [39], a digital model of a power system is proposed to trace the dynamic faults of voltage and also forecast the dynamic behavior of the post-fault.…”

Section: ) Management and Monitoringmentioning

confidence: 99%

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

et al. 2023

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With recent advances in information and communication technology (ICT), the bleeding edge concept of digital twin (DT) has enticed the attention of many researchers to revolutionize the entire modern industries. DT concept refers to a digital representation of a physical entity that is able to reflect its physical behavior by applying platforms and bidirectional interaction of data in real-time. The remarkable deployment of the internet of things in the power grid has led to reliable access to information that improves its performance and equips it with a powerful tool for real-time data management and analysis. This paper aims to trace the continuous investigation and propose practical ideas in originating and developing DT technology, according to various application domains of power systems, and also describes the proposed solutions to deal with the challenges associated with DT. Indeed, with the development of modern cities, different energy layers such as transportation systems, smart grids, and microgrids have emerged facing various issues that challenge the multi-dimensional energy management system. For example, in transportation systems, traffic is a major problem that requires real-time management, planning, and analysis. In power grids, remote data transfer within the grid and also various analyzes needing real data are just some of the current challenges in the field. These problems can be cracked by providing and analyzing a real twin framework in each section. All in all, this paper aims to survey different applications of DT in the development of the various aspects of energy management within a city including transportation systems, power grids, and microgrids. Besides, the security of DT technology based on ML is discussed. It also provides a complete view for the readers to be able to develop and deploy a DT technology for various power system applications.

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Section: ) Management and Monitoringmentioning

confidence: 99%

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

et al. 2023

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“…3) The digital twin concept, a virtual replica of a physical MES, enables testing and experimenting the impact of integration of new technology and strategy [103]. The MLBTs can be embedded in the digital twin to simulate the MES operation in various extreme events, and to develop and verify the resilience assessment and enhancement methods.…”

Section: B Future Directions Of Mlbts Applied To Mes Resilience Asses...mentioning

confidence: 99%

On Machine Learning-Based Techniques for Future Sustainable and Resilient Energy Systems

Wang

Chatzivasileiadis

Panteli

et al. 2023

IEEE Trans. Sustain. Energy

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“…(Rasheed et al, 2019) reported the challenges, methodologies and techniques related to the development of digital-twins. (Palensky et al, 2021) reported the history of digital-twins, fundamental properties and how digital-twins are related to different power systems. Other studies (Huang et al, 2021;Onile et al, 2021;Pan et al, 2020;Xu et al, 2019) have reported the application of digital-twins within power systems.…”

Section: Introductionmentioning

confidence: 99%

“…(Palensky et al, 2021) reported the history of digital-twins, fundamental properties and how digital-twins are related to different power systems. Other studies (Huang et al, 2021;Onile et al, 2021;Pan et al, 2020;Xu et al, 2019) have reported the application of digital-twins within power systems. In a previous study (Panov and Cruz-Manzo, 2020), a gas turbine real-time executable digital-twin (RT xDT) was reported.…”

Section: Introductionmentioning

confidence: 99%

Gas Turbine Sensor Fault Diagnostic System in a Real-Time Executable Digital-Twin

Cruz-Manzo¹,

Panov²,

Bingham³

2022

Proceedings of Global Power &Amp; Propulsion Society

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In this study, a sensor fault diagnostic system to detect/isolate and accommodate faults in sensors from an industrial gas turbine has been developed. The sensor fault diagnostic module is integrated with a gas turbine real-time executable digital-twin (RT xDT) reported in a previous study. The sensor fault diagnostic module of the digital-twin considers analytical sensor redundancy using a reference engine model to provide redundant estimates of measured engine variables. A Software-in-the-Loop (S-i-L) architecture and Hardware-in-the-Loop (H-i-L) facility are constructed to assess the sensor diagnostic module (fault detection/ fault isolation) during failure in sensors from the engine. The results demonstrated that if the discrepancy between virtual measurement (provided by digital-twin) and sensor measurement exceeds the prescribed tolerance levels, the sensor fault diagnostic logic determines the state of switching between the virtual and engine sensor measurements in a dual lane control configuration of the gas turbine control system. The sensor fault detection system implemented in the gas turbine RT xDT can be deployed onto a distributed control system of industrial gas turbines to diagnose sensor deficiencies and ensure continuous and safe operation of the gas turbine. Consequently, the developed system will increase engine availability and reliability by diagnosing engine operational deficiencies before severe failure.

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Digital twins and their use in future power systems

Cited by 30 publications

References 59 publications

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

On Machine Learning-Based Techniques for Future Sustainable and Resilient Energy Systems

Gas Turbine Sensor Fault Diagnostic System in a Real-Time Executable Digital-Twin

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