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.
|Title of host publication||Lecture Notes in Computer Science: Life System Modelling and Intelligent Computing|
|Editors||Kang Li, Minrui Fei, Li Jia, George W. Irwin|
|Number of pages||12|
|Publication status||Published - Sep 2010|
Bibliographical noteChapter Number: Volume 6329/2010
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