Novel frequency-domain inertia mapping and estimation in power systems using wavelet analysis
Abouyehia, Mohamed and Egea-Alvarez, Agusti and Aphale, Sumeet S. and Ahmed, Khaled H. (2024) Novel frequency-domain inertia mapping and estimation in power systems using wavelet analysis. IEEE Transactions on Power Systems. pp. 1-11. ISSN 0885-8950 (https://doi.org/10.1109/tpwrs.2024.3469633)
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Abstract
In recent power systems, accurately estimating system inertia is crucial for stability, especially with the increased integration of renewable energy sources. This paper proposes a novel wavelet-based method for estimating the inertia of synchronous machines and the dynamic inertia of converterinterfaced generators (CIG). The proposed method estimates the inertia constant in the frequency domain, contrasting traditional time domain methods. The proposed method capitalises on the unique capability of wavelet transform coefficients to analyse rapid changes in active power and frequency signals. The magnitude of these coefficients is then utilised to measure the strength of the transit periods on those signals, which serves as an indicator of the power system's inertia constant. This paper also derives a novel mathematical relationship between frequencydomain inertia estimates and their time-domain equivalents. The proposed method is scalable, demonstrating efficiency across both small and large power systems. Control hardware-in-the-loop (CHiL) simulations are employed using a real-time, high-speed piecewise linear electrical circuit simulator (PLECS) alongside a digital signal processor (DSP) to validate the proposed method. The results reveal that the proposed method offers superior stability and demonstrates resilience against system noise, as well as potential numerical issues common in traditional methods
ORCID iDs
Abouyehia, Mohamed ORCID: https://orcid.org/0000-0002-8569-4763, Egea-Alvarez, Agusti ORCID: https://orcid.org/0000-0003-1286-6699, Aphale, Sumeet S. and Ahmed, Khaled H.;-
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Item type: Article ID code: 90813 Dates: DateEvent30 September 2024Published30 September 2024Published Online1 September 2024AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering > Electrical apparatus and materials > Electric networks Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > EnergyDepositing user: Pure Administrator Date deposited: 10 Oct 2024 15:26 Last modified: 11 Nov 2024 14:28 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/90813