Yang, L.; Wang, Y.; Gao, S.; Zheng, Z.; Jiang, Q.; Zhou, C. An Intelligent Location Method for Power System Oscillation Sources Based on a Digital Twin. Electronics2023, 12, 3603.
Yang, L.; Wang, Y.; Gao, S.; Zheng, Z.; Jiang, Q.; Zhou, C. An Intelligent Location Method for Power System Oscillation Sources Based on a Digital Twin. Electronics 2023, 12, 3603.
Yang, L.; Wang, Y.; Gao, S.; Zheng, Z.; Jiang, Q.; Zhou, C. An Intelligent Location Method for Power System Oscillation Sources Based on a Digital Twin. Electronics2023, 12, 3603.
Yang, L.; Wang, Y.; Gao, S.; Zheng, Z.; Jiang, Q.; Zhou, C. An Intelligent Location Method for Power System Oscillation Sources Based on a Digital Twin. Electronics 2023, 12, 3603.
Abstract
Aiming at the difficult problem of broadband oscillation localization in power systems, the intel-ligent localization method of oscillation source based on the digital twin is proposed and the os-cillation source localization system based on the digital twin is constructed. Firstly, a digital twin-based oscillation source localization method and system architecture are proposed. Fur-thermore, an intelligent positioning method of oscillation source based on data-driven and mechanism fusion is proposed. It includes three steps: oscillation signal preprocessing, oscillation modal analysis and oscillation source localization. For the oscillation signal preprocessing, the generative adversarial imputation network is used to repair the missing samples, and the su-per-resolution technique is used to realize the super-resolution measurement of broadband os-cillation. In the oscillation modal analysis, the spectrum of the oscillation signal is extracted using the fast Fourier transform. To accurately locate the oscillation source, the branch potential energy is used as input to the data-driven model, such as LSTM and CNN. Finally, an oscillation source localization system is developed based on the digital twin workshop CloudPSS-XStudio, which can locate the oscillation source quickly and accurately.
Keywords
digital twin; oscillation source localization; generative adversarial imputation network; super resolution; Cloudpss-Xstudio
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
