A survey on new trends of digital twin technology for power systems

Moghadam, Hooman Mohammadi; Foroozan, Hossein; Gheisarnejad, Meysam; Khooban, Mohammad‐Hassan

doi:10.3233/jifs-201885

Cited by 25 publications

(2 citation statements)

References 99 publications

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“…Recently, the development of digital twin has shown an explosive trend, which has been widely used in satellite communication, smart city construction, aircrafts, vehicles, ships, and other fields [42]. Undoubtedly, there is also a very broad development prospect in the field of aerospace.…”

Section: Digital Twinmentioning

confidence: 99%

Review of Launch Vehicle Engine PHM Technology and Analysis Methods Research

et al. 2023

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The reliability and safety of launch vehicle launch missions might be effectively increased thanks to the fault prediction and health management (PHM) technology of engines, which could also improve with problem diagnostics and decrease the cost of operation and maintenance overhaul. This paper combines the equipment characteristics and the current state of safeguarding for large, complex space systems, introduces the intelligent launch vehicle engine PHM technology methods that are being gradually implemented in space systems, and discusses and compares fault detection and health assessment techniques. Subsequently, analysis of the measurement signals from a rocket engine was performed using an example, and it was shown that the established comprehensive health assessment structure, which is based on the fault prediction algorithm method and the fuzzy comprehensive assessment method, could successfully realize the effectiveness of the rocket engine system health assessment, which had an outstanding application value.

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Section: Digital Twinmentioning

confidence: 99%

Review of Launch Vehicle Engine PHM Technology and Analysis Methods Research

et al. 2023

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“…Indeed, digital solutions have the potential to provide tremendous value to a company that could never have been realized before the emergence of linked, smart technologies (Mohammadi Moghadam et al, 2021a). Due to limits in digital technological capabilities as well as exorbitant compute, storage, and bandwidth costs, the DT and the huge amounts of data it processes have remained elusive to organizations until recently.…”

Section: Dt Controller Of Hvac Systemmentioning

confidence: 99%

FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology

Mohseni

Zeitouni

Parvaresh

et al. 2022

Transactions of the Institute of Measurement and Control

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As heating, ventilation, and air conditioning (HVAC) systems have become one of the most contributing systems in energy consumption in the world, the control of these large-scale systems remains a challenging duty due to the decoupling effects of control variables. Accordingly, the penetration of these types of systems in all-smart buildings has increased in recent years. Furthermore, the application of digital twin as a fast-growing concept is being developed. In HVAC systems, independent and accurate control of temperature and humidity of the indoor air has been playing an undeniable role in reducing energy consumption. In this paper, to have cost-effective energy management in a single-zone HVAC system, a new reliable digital twin proximal policy optimization (PPO)–based model-independent nonsingular terminal sliding-mode control (MINTSMC) methodology has been proposed. Moreover, due to the nonlinear characteristics of HVAC systems, MINTSMC tends to handle the un-modeled system dynamics and disturbances. For regulating parameters of proposed control, an efficient PPO algorithm has been developed due to its actor-critic-based reinforcement learning. Extensive examinations and comparative analyses with particle swarm optimization designed sliding-mode control and proportional–integral–derivative controller have been made using digital twin of the proposed controller to show the importance, accuracy, and application of this method in the comfort and energy management achievement of HVAC control systems. A digital signal processor computing device has been utilized for implementation by utilizing hardware-in-loop (HIL) in the concept of the digital twin. To determine the interface between established models, software-in-loop, and HIL, the Functional Mock-up Interface has been utilized. The outcomes revealed a superior performance of suggested digital twin-based controller than the compared control methodologies in the compensation of unknown uncertainties, fast-tracking, and smooth response.

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Research and application of digital electrical substation virtual engineering education system

Li,

Ma,

Zhang

et al. 2024

Comp Applic In Engineering

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The education and training of electrical substations play an essential role for college students and engineers majoring in electrical engineering. However, to ensure the substation's safety production and equipment operation, it is difficult for personnel from external units to enter the site for learning. To overcome these limitations, this paper proposes a virtual interactive training technology method to author an interactive virtual maintenance education system (VMES) for electrical substations. The system aims to build a visual training and education platform for virtual substations to help learners master the station's equipment, operation, maintenance, evaluation, and other processes. Firstly, the system establishes a component‐level virtual interaction element to encapsulate an electrical substation virtual maintenance model that dynamically responds to user operations. The equipment structure and system environment are visually modeled using engineering modeling software. Secondly, a virtual interactive training system is created with the functions of 3D disassembly training, fault tree reliability evaluation, and AHP‐FCE maintenance assessment. Finally, through four operating systems, we evaluate the compatibility of the VMES, and we recruit learners to evaluate and discuss emerging and common educational models. The practical application results prove that the system can significantly improve students' learning efficiency and interest. Meanwhile, due to the increased number of interactive operations in VMES, participants can proficiently master the composition and working principles of equipment in substations, and cognitive load can be reduced.

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A survey on new trends of digital twin technology for power systems

Cited by 25 publications

References 99 publications

Review of Launch Vehicle Engine PHM Technology and Analysis Methods Research

Review of Launch Vehicle Engine PHM Technology and Analysis Methods Research

FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology

Research and application of digital electrical substation virtual engineering education system

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