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


Autoria(s): McSwiggan, D.; Littler, Timothy
Contribuinte(s)

Li, Kang

Fei, Minrui

Jia, Li

Irwin, George W.

Data(s)

01/09/2010

Resumo

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.

Identificador

http://pure.qub.ac.uk/portal/en/publications/a-waveletprony-method-for-modeling-of-fixedspeed-wind-farm-lowfrequency-power-pulsations(d498cb53-e162-4837-88f0-5aebce37329b).html

http://dx.doi.org/10.1007/978-3-642-15597-0_46

Idioma(s)

eng

Publicador

Springer

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

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 , Springer , pp. 421-432 . DOI: 10.1007/978-3-642-15597-0_46

Tipo

contributionToPeriodical