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 language | English |
|---|---|
| Title of host publication | Communications in Computer and Information Science: Advanced Intelligent Computing Theories and Applications |
| Editors | De-Shuang Huang, Martin McGinnity, Laurent Heutte, Xiao-Ping Zhang |
| Publisher | Springer |
| Pages | 416-424 |
| Number of pages | 9 |
| Volume | 93 CCIS |
| ISBN (Electronic) | 978-3-642-14831-6 |
| ISBN (Print) | 978-3-642-14830-9 |
| DOIs | |
| Publication status | Published - Aug 2010 |
Bibliographical note
Chapter Number: Volume 93, Part 22Keywords
- Prony; Oscillation; Wavelet Transform; Wind Energy
ASJC Scopus subject areas
- General Computer Science
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
