Li, P;
Chen, B;
Chu, Z;
Wu, A;
Teng, F;
(2021)
Estimation of Time-varying Frequency and its Rate of Change in Low-inertia Power Systems.
In:
Proceedings of the 2021 IEEE Madrid PowerTech.
(pp. pp. 1-6).
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
In this paper, a hierarchical estimation scheme is designed to track the frequency and its rate of change of non-stationary power signals. The frequency is retrieved by a kernel-based parameter estimator in the first step. Subsequently, the frequency estimates are injected into a kernel-based numerical differentiator to extract its changing rate. Thanks to the deployed Volterra integral operator and suitably designed kernel-functions, the proposed estimator can achieve very fast convergence speed without compromising the robustness against noise. Therefore, the real-time estimates are able to follow the time-varying frequency and its rate of change with satisfactory accuracy. The effectiveness and robustness of the proposed method are verified by numerical experiments considering typical practical scenarios under the disturbance of noise. The results of the proposed method are compared with a highly-concerned quadrature phase-locked-loop (QPLL) method.
| Type: | Proceedings paper |
|---|---|
| Title: | Estimation of Time-varying Frequency and its Rate of Change in Low-inertia Power Systems |
| Event: | 2021 IEEE Madrid PowerTech |
| ISBN-13: | 978-1-6654-3597-0 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/PowerTech46648.2021.9494938 |
| Publisher version: | https://doi.org/10.1109/PowerTech46648.2021.949493... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10135280 |
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