Integrating physical and data-driven system frequency response modelling for wind-PV-thermal power systems

Zhang, J, Wang, Y, Zhou, G et al. (3 more authors) (2024) Integrating physical and data-driven system frequency response modelling for wind-PV-thermal power systems. IEEE Transactions on Power Systems, 39 (1). pp. 217-228. ISSN 0885-8950

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Item Type: Article
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Keywords: Data-driven modelling; neural network; physical model; primary frequency control; renewable energy; system frequency response; transfer learning
Dates:
  • Published: January 2024
  • Published (online): 6 February 2023
  • Accepted: 31 January 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Feb 2023 13:52
Last Modified: 23 May 2024 20:41
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: 10.1109/tpwrs.2023.3242832
Open Archives Initiative ID (OAI ID):

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