State Evaluation of Power Transformer Based on Digital Twin

Yang, Yong; Zhu, Chen; Yan, Jing; Xiong, Zhi; Zhang, Jun; Yuan, Hang; Tu, Yali; Zhang, Tianyun

doi:10.1109/soli48380.2019.8955043

Cited by 25 publications

(8 citation statements)

References 7 publications

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“…Design, monitoring, and operation management [108], [109] VPP operation management [110] District EMS [111] Monitoring and control of current source inverters [48] Wind farm monitoring and analysis [112] Power transformer monitoring [113] Renewable energy generator twinning [114] CPSs twinning [115] Microgrid design and EMS [116] Smart home management SoH monitoring and predictive maintenance [117] Power transformer SoH monitoring [118] Anomaly detection of battery [119] Prognostics and health management of a WT gearbox [80] Estimating RUL of the power converter of fixed and floating offshore WTs [81] SoH monitoring of a Lithium-ion battery pack in a spacecraft [83] Monitoring battery degradation [120] Lithium-ion and lead-acid battery management systems…”

Section: Area Reference Applicationmentioning

confidence: 99%

Microgrid Digital Twins: Concepts, Applications, and Future Trends

et al. 2022

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Following the fourth industrial revolution, and with the recent advances in information and communication technologies, the digital twinning concept is attracting the attention of both academia and industry worldwide. A microgrid digital twin (MGDT) refers to the digital representation of a microgrid (MG), which mirrors the behavior of its physical counterpart by using high-fidelity models and simulation platforms as well as real-time bi-directional data exchange with the real twin. With the massive deployment of sensor networks and IoT technologies in MGs, a huge volume of data is continuously generated, which contains valuable information to enhance the performance of MGs. MGDTs provide a powerful tool to manage the huge historical data and real-time data stream in an efficient and secure manner and support MGs' operation by assisting in their design, operation management, and maintenance. In this paper, the concept of the digital twin (DT) and its key characteristics are introduced. Moreover, a workflow for establishing MGDTs is presented. The goal is to explore different applications of DTs in MGs, namely in design, control, operator training, forecasting, fault diagnosis, expansion planning, and policy-making. Besides, an up-to-date overview of studies that applied the DT concept to power systems and specifically MGs is provided. Considering the significance of situational awareness, security, and resilient operation for MGs, their potential enhancement in light of digital twinning is thoroughly analyzed and a conceptual model for resilient operation management of MGs is presented. Finally, future trends in MGDTs are discussed.

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Section: Area Reference Applicationmentioning

confidence: 99%

Microgrid Digital Twins: Concepts, Applications, and Future Trends

et al. 2022

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“…These data reflect the operation status of power transformers from different aspects and to different degrees. However, the coupling, fuzziness and randomness of state information make it difficult to evaluate the state of power transformer [36]. Digital twin technology creates completely new approach for electrical equipment state estimation.…”

Section: Transformermentioning

confidence: 99%

“…The model can collect and process a series of data of the sensor in continuous operation, simulate and check the transformer work, and put forward effective diagnosis suggestions for the transformer working state and prevent the emergency state. As shown in [36], YANG Yong et al also proposed a method of applying DT technology to state assessment, which makes the simulation model closer to reality and guides the actual operation of power transformers through data interaction between virtual models and physical entities, and took 110kV power transformers as an example to evaluate this method. According to various test data and monitoring data, they set up multidimensional status evaluation index system of power transformer.…”

Section: Transformermentioning

confidence: 99%

An Overview of Digital Twin Concept for Key Components of Renewable Energy Systems

2021

Int. J. Robot. Autom. Technol.

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Renewable energy (RE) is green and low-carbon energy, which can not only protect the environment, promote the technological diversification of the energy supply system, accelerate the adjustment of energy structure, but also has important significance for the sustainable development of economy. With the increasing complexity of the problems of renewable energy system asset management and ensuring the operational reliability of electric power equipment, it's necessary to establish remote, online, reliable monitoring and inspection techniques for the state evaluation of electrical equipment during the full life cycle. In order to meet these demands, the digital twin is a very suitable technology. In recent years, there are numerous scientific papers demonstrating DT's capabilities in virtual simulation, condition monitoring (CM), power optimization and fault diagnosis for RE generation systems, transmission and transformation equipment and storage systems. The majority of the research focusing on product design, maintenance of operation, condition monitoring and fault decision-making has provided many valuable contributions to academia and industrial fields. Nevertheless, all this valuable information is scattered over many literatures and it is lack of systematic generalization. In this article, different applications of DT technology in RE system are analyzed, advanced methods and theories are summarized comprehensively, and the development trend of DT technology in renewable energy system in the future is introduced.

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“…In [20], it is developed a digital twin of a power transformer based on a data model that uses machine learning techniques, resulting in an accurate prediction of the transformer status. Reference [21] also develops a datadriven model of a power transformer, which uses multisource and heterogenous data to evaluate the transformer status. In order to obtain a real-time simulation of a power transformer, [22] uses an FPGA enabling to monitor and diagnose the transformer, with a maximum delay of 1.1 ms.…”

Section: Physics-based Modellingmentioning

confidence: 99%

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Mendes

Ferreira

2021

2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicat

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The digital twin is a trending technology that has been applied to different fields. In this work, the use of the digital twin of electric machines in a life cycle perspective is investigated. It presents a literature review of the main concepts and applications of the digital twin in the field. In addition, it discusses the methodological approach to obtain the digital twin of a static electric machine by using its multiphysics model in a reduced order model, to improve the maintenance scheme and estimate the lifetime of its insulation system based on the machine's temperature profile.

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State Evaluation of Power Transformer Based on Digital Twin

Cited by 25 publications

References 7 publications

Microgrid Digital Twins: Concepts, Applications, and Future Trends

Microgrid Digital Twins: Concepts, Applications, and Future Trends

An Overview of Digital Twin Concept for Key Components of Renewable Energy Systems

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

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