Real-time simulation of power system dynamics

Sekine, Yasuji; Takahashi, Kazuhiro; Sakaguchi, Toshiaki

doi:10.1016/0142-0615(94)90004-3

Cited by 14 publications

(5 citation statements)

References 5 publications

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“…Although this validation strategy can be sufficient for other processes in the manufacturing manufacturing area, the challenge that comes with the complex dynamics of power systems requires more effective validation strategies. RT simulation has been gaining popularity as a validation tool to overcome the dynamic complexity of power systems and offering a high degree of fidelity as studied by Sekine et al [23] in 1994.…”

Section: Real-time Simulation As a Validation Structurementioning

confidence: 99%

A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network

et al. 2022

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In developing distribution networks, the deployment of alternative generation sources is heavily motivated by the growing energy demand, as by environmental and political motives. Consequently, microgrids are implemented to coordinate the operation of these energy generation assets. Microgrids are systems that rely on power conversion technologies based on high-frequency switching devices to generate a stable distribution network. However, disrupting scenarios can occur in deployed systems, causing faults at the sub-component and the system level of microgrids where its identification is an economical and technological challenge. This paradigm can be addressed by having a digital twin of the low-level components to monitor and analyze their response and identify faults to take preventive or corrective actions. Nonetheless, accurate execution of digital twins of low-level components in traditional simulation systems is a difficult task to achieve due to the fast dynamics of the power converter devices, leading to inaccurate results and false identification of system faults. Therefore, this work proposes a fault identification framework for low-level components that includes the combination of Real-Time systems with the Digital Twin concept to guarantee the dynamic consistency of the low-level components. The proposed framework includes an offline trained Self Organized Map Neural Network in a hexagonal topology to identify such faults within a Real-Time system. As a case study, the proposed framework is applied to a three-phase two-level inverter connected to its digital model in a Real-Time simulator for open circuit faults identification.

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Section: Real-time Simulation As a Validation Structurementioning

confidence: 99%

A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network

et al. 2022

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“…Faster than real-time simulation means the computational time is lower than the duration of the simulated interaction. The goal for achieving practical realtime parallel dynamic simulations was already being set in the 90s [211]. Pioneering applications used the Conjugate Gradient method on the Cray Y-MP, iPSC/860, and IBM 3090 mainframe [212] [213].…”

Section: Developmentmentioning

confidence: 99%

A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization

Al-Shafei¹,

Zareipour²,

Cao³

2022

Preprint

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“…Real-time power system simulation is becoming a standard technology in designing new devices and analyzing power system dynamics [34,35]. Simulation of power system dynamics is an old technology in power system engineering.…”

Section: Emt Simulation Toolsmentioning

confidence: 99%

Modeling and simulation of Power Electronic based Electrotechnical Systems for Renewable Energy, Transportation and Industrial Applications: A Brief Review

Mohseni‐Bonab¹,

Kamwa²

2019

Revue Africaine De Recherche en Informatique Et Mathématiques Appliquées

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In this paper, a completed review of recent researches about modern power converter based electrotechnical systems (ETSs) has been carried out. In particular, power electronics (PEs) based ETSs have been investigated. The literature review consists of a standard classification of PEs-based ETSs, along with a survey on strengths and weaknesses of these devices impact on renewable energy sources. Dans cet article, une revue complète des recherches récentes sur les systèmes électrotechniques basés sur les convertisseurs de puissance modernes (ETS) est réalisée. En particulier, les ETS basés sur l'électronique de puissance (PE) sont étudiés. La revue de la littérature consiste en une classification standard des ETS basés sur les PE, ainsi qu'une étude sur des forces et les faiblesses de ces dispositifs sur les sources d'énergie renouvelables.

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Real-time simulation of power system dynamics

Cited by 14 publications

References 5 publications

A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network

A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network

A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization

Modeling and simulation of Power Electronic based Electrotechnical Systems for Renewable Energy, Transportation and Industrial Applications: A Brief Review

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