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Article

Validation of EMT Digital Twin Models for Dynamic Voltage Performance Assessment of 66 kV Offshore Transmission Network

1
Department of Electrical Sustainable Energy, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands
2
TenneT TSO B.V., 6812 AR Arnhem, The Netherlands
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(1), 244; https://doi.org/10.3390/app11010244
Received: 28 October 2020 / Revised: 15 December 2020 / Accepted: 18 December 2020 / Published: 29 December 2020
(This article belongs to the Special Issue Simulation-Based Validation and Design of Smart Grids)
The increase in Power Electronic (PE) converters due to the increase in offshore wind energy deployment have given rise to technical challenges (e.g., due to unprecedented fast dynamic phenomena) related to voltage and frequency stability in the power system. In the Offshore Wind Farms (OWFs), the currently available current injection-based voltage control for PE converters are not suitable for voltage control in PE dominated systems due to the absence of continuous voltage control and ineffectiveness during islanding. Moreover, in such power systems, the conventional controllers are not suitable for frequency control due to the absence of dynamic frequency control. The paper presents the Direct Voltage Control (DVC) strategy in a real-time environment to mitigate challenges related to voltage and frequency stability during islanding of OWFs. The control strategy is implemented in the average Electro-magnetic Transient (EMT) model of Type-4 Wind Generator (WG) in RSCAD® Version 5.011.1. It is compared with the benchmark model of the control strategy in DIgSILENT PowerFactoryTM 2019 SP2 (×64) in EMT platform. The comparison based on short-term voltage stability and reactive current injection reveals that both the models provide similar results, confirming the validation of the RSCAD model. Moreover, the detailed representation of the converters in the RSCAD model provides a better depiction of the real-world operation. View Full-Text
Keywords: Direct Voltage Control; EMT; Offshore Wind Farm; digital twin model Direct Voltage Control; EMT; Offshore Wind Farm; digital twin model
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MDPI and ACS Style

Ganesh, S.; Perilla, A.; Torres, J.R.; Palensky, P.; van der Meijden, M. Validation of EMT Digital Twin Models for Dynamic Voltage Performance Assessment of 66 kV Offshore Transmission Network. Appl. Sci. 2021, 11, 244. https://doi.org/10.3390/app11010244

AMA Style

Ganesh S, Perilla A, Torres JR, Palensky P, van der Meijden M. Validation of EMT Digital Twin Models for Dynamic Voltage Performance Assessment of 66 kV Offshore Transmission Network. Applied Sciences. 2021; 11(1):244. https://doi.org/10.3390/app11010244

Chicago/Turabian Style

Ganesh, Saran, Arcadio Perilla, Jose Rueda Torres, Peter Palensky, and Mart van der Meijden. 2021. "Validation of EMT Digital Twin Models for Dynamic Voltage Performance Assessment of 66 kV Offshore Transmission Network" Applied Sciences 11, no. 1: 244. https://doi.org/10.3390/app11010244

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