A Tower-Shadow Model for Wind Turbines Using a Wavelet-Prony Method

D. McSwiggan, Timothy Littler

Research output: Chapter in Book/Report/Conference proceedingChapter


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 publicationCommunications in Computer and Information Science: Advanced Intelligent Computing Theories and Applications
EditorsDe-Shuang Huang, Martin McGinnity, Laurent Heutte, Xiao-Ping Zhang
Number of pages9
Volume93 CCIS
ISBN (Electronic)978-3-642-14831-6
ISBN (Print)978-3-642-14830-9
Publication statusPublished - Aug 2010

Bibliographical note

Chapter Number: Volume 93, Part 22


  • Prony; Oscillation; Wavelet Transform; Wind Energy

ASJC Scopus subject areas

  • Computer Science(all)
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering


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