A Wavelet-Prony Method for Modeling of Fixed-Speed Wind Farm Low-Frequency Power Pulsations

D. McSwiggan, Timothy Littler

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

The increasing penetration of wind generation on the Island of Ireland has been accompanied by close investigation of low-frequency pulsations contained within active power flow. A primary concern is excitation of low-frequency oscillation modes already present on the system, particularly the 0.75 Hz mode as a consequence of interconnection between the Northern and Southern power system networks. In order to determine whether the prevalence of wind generation has a negative effect (excites modes) or positive impact (damping of modes) on the power system, oscillations must be measured and characterised. Using time – frequency methods, this paper presents work that has been conducted to extract features from low-frequency active power pulsations to determine the composition of oscillatory modes which may impact on dynamic stability. The paper proposes a combined wavelet-Prony method to extract modal components and determine damping factors. The method is exemplified using real data obtained from wind farm measurements.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science: Life System Modelling and Intelligent Computing
EditorsKang Li, Minrui Fei, Li Jia, George W. Irwin
PublisherSpringer
Pages421-432
Number of pages12
Volume6329
ISBN (Electronic)978-3-642-15597-0
ISBN (Print)978-3-642-15596-3
DOIs
Publication statusPublished - Sep 2010

Bibliographical note

Chapter Number: Volume 6329/2010

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    McSwiggan, D., & Littler, T. (2010). A Wavelet-Prony Method for Modeling of Fixed-Speed Wind Farm Low-Frequency Power Pulsations. In K. Li, M. Fei, L. Jia, & G. W. Irwin (Eds.), Lecture Notes in Computer Science: Life System Modelling and Intelligent Computing (Vol. 6329, pp. 421-432). Springer. https://doi.org/10.1007/978-3-642-15597-0_46