DocumentCode :
2605500
Title :
Measurement-based method for wind farm power system oscillation monitoring
Author :
Liu, Xueqin ; Littler, Tim ; Kennedy, Jason
Author_Institution :
Electr. Power & Energy Res. Group, Queen´´s Univ. Belfast, Belfast, UK
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
The global increase in the penetration of renewable energy is pushing electrical power systems into uncharted territory, especially in terms of transient and dynamic stability. In particular, the greater penetration of wind generation in European power networks is, at times, displacing a significant capacity of conventional synchronous generation with fixed-speed induction generation and now more commonly, doubly-fed induction generators. The impact of such changes in the generation mix requires careful monitoring to assess the impact on transient and dynamic stability. This paper presents a measurement based method for the early detection of power system oscillations, with attention to mode damping, in order to raise alarms and develop strategies to actively improve power system dynamic stability and security. A method is developed based on wavelet transform and support vector data description (SVDD) to detect oscillation modes in wind farm output power, which may excite dynamic instabilities in the wider system. The wavelet transform is used as a filter to identify oscillations in different frequency bands, while SVDD is used to extract dominant features from different scales and generate an assessment boundary according to the extracted features. Poorly damped oscillations of a large magnitude or that are resonant can be alarmed to the system operator, to reduce the risk of system instability. Method evaluation is exemplified used real data from a chosen wind farm.
Keywords :
asynchronous generators; feature extraction; power engineering computing; power system dynamic stability; power system measurement; power system security; power system transient stability; support vector machines; wavelet transforms; wind power plants; European power networks; doubly-fed induction generators; feature extraction; measurement-based method; mode damping; power system dynamic stability; power system security; power system transient stability; renewable energy; support vector data description; wavelet transform; wind farm power system oscillation monitoring; wind generation; Induction generators; Monitoring; Power generation; Power measurement; Power system dynamics; Power system measurements; Power system stability; Power system transients; Wind energy generation; Wind farms; Power system measurements; SVDD; power system oscillation; power system stability; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348328
Filename :
5348328
Link To Document :
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