Statistical modeling of grid voltage fluctuations at wind turbine generator output by extreme value analysis

Saber Farajzadehbibalan, Mohammad Hossein Ramezani, Peter Nielsen, Esmaeil S. Nadimi

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstract

Wind turbine generators (WTGs) are required to operate at different levels of voltage uctuations in the power grid. When the uctuations exceed the standard levels, i.e. over and under voltage, they affect the performance of WTGs. In this study, we estimate the distribution of over and under voltages by utilizing Extreme Value Analysis. Assuming voltage as a random variable, we show that the over and under voltages can be considered as extreme deviations from the probability distribution median. The results approve that extreme fluctuations in the voltage of one WTG follow Generalized Extreme Value distribution. Since different WTGs do not necessarily experience the same extreme events, the model is generalized to the wind farm scale to cover all probable variations. This is accomplished by assuming the parameters of the generalized model as random variables. The generalized model will be used in the WTG test center, in order to determine WTG's capability to withstand the fluctuations.

OriginalsprogEngelsk
TitelProceedings of the International Conference on Research in Adaptive and Convergent Systems
ForlagAssociation for Computing Machinery
Publikationsdato2016
Sider7-11
ISBN (Trykt)978-1-4503-4455-5
DOI
StatusUdgivet - 2016
Begivenhed2016 International Conference on Research in Adaptive and Convergent Systems - Odense, Danmark
Varighed: 11. okt. 201614. okt. 2016

Konference

Konference2016 International Conference on Research in Adaptive and Convergent Systems
Land/OmrådeDanmark
ByOdense
Periode11/10/201614/10/2016
SponsorACM SIGAI

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