A Tower-Shadow Model for Wind Turbines Using a Wavelet-Prony Method
Contribuinte(s) |
Huang, De-Shuang McGinnity, Martin Heutte, Laurent Zhang, Xiao-Ping |
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Data(s) |
01/08/2010
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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 | |
Idioma(s) |
eng |
Publicador |
Springer |
Direitos |
info:eu-repo/semantics/restrictedAccess |
Fonte |
McSwiggan , D & Littler , T 2010 , A Tower-Shadow Model for Wind Turbines Using a Wavelet-Prony Method . in D-S Huang , M McGinnity , L Heutte & X-P Zhang (eds) , Communications in Computer and Information Science: Advanced Intelligent Computing Theories and Applications . vol. 93 CCIS , Springer , pp. 416-424 . DOI: 10.1007/978-3-642-14831-6_55 |
Palavras-Chave | #Prony; Oscillation; Wavelet Transform; Wind Energy #/dk/atira/pure/subjectarea/asjc/1700 #Computer Science(all) #/dk/atira/pure/subjectarea/asjc/2100/2105 #Renewable Energy, Sustainability and the Environment #/dk/atira/pure/subjectarea/asjc/2200/2208 #Electrical and Electronic Engineering |
Tipo |
contributionToPeriodical |