Derivative-based method for high-speed frequency estimation in low-inertia future grids
Abouyehia, Mohamed and Nasser, Reem and Egea-Àlvarez, Agustí and Ahmed, Khaled H.; (2025) Derivative-based method for high-speed frequency estimation in low-inertia future grids. In: 2025 10th IEEE Workshop on the Electronic Grid (eGRID). IEEE Electronic Power Grid (eGrid) . IEEE, GBR. ISBN 9798331593643 (https://doi.org/10.1109/egrid63452.2025.11255428)
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Abstract
This paper presents a frequency estimation method that surpasses conventional phase-locked loop (PLL)-based methods in both speed and accuracy. The proposed method utilizes the mathematical properties of trigonometric function derivatives, coupled with the unique oscillation behavior of the dq frame, to detect frequency variations. By transforming voltage waveforms into the dq frame and incorporating the cross product of normalized dq components and their derivatives, the method swiftly identifies frequency variations. It delivers rapid and accurate estimations, meeting the demands for real-time monitoring in low-inertia power systems. To enhance robustness in noisy environments, a Butterworth filter is integrated to mitigate noise amplification effects. The proposed method is validated through extensive simulation analysis using MATLAB/SIMULINK in both noisy and non-noisy conditions. Comparative results demonstrate that the derivative-based approach significantly outperforms the PLL method, particularly in response time and accuracy during transient periods.
ORCID iDs
Abouyehia, Mohamed
ORCID: https://orcid.org/0000-0002-8569-4763, Nasser, Reem, Egea-Àlvarez, Agustí
ORCID: https://orcid.org/0000-0003-1286-6699 and Ahmed, Khaled H.
ORCID: https://orcid.org/0000-0002-7912-8140;
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Item type: Book Section ID code: 94910 Dates: DateEvent25 November 2025Published15 June 2025AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 08 Dec 2025 10:44 Last modified: 22 Jan 2026 10:44 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/94910
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