Sensitivity Analysis of PCA method for Wind Ramp event Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F16%3A39901928" target="_blank" >RIV/00216275:25530/16:39901928 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Sensitivity Analysis of PCA method for Wind Ramp event Detection
Original language description
Wind is one of the fastest growing sources of green energy in the last few decades. A special attention has been recently focused on the wind ramps, sudden changes in wind power production caused by surges of wind speed (both increases and decreases). In this paper, sensitivity analysis of Principal Component Analysis (PCA) method is preformed on wind speed dataset with the 5 minute time resolution. Principal Component Analysis results can be used to evaluate conditional probability of forthcoming wind ramp event. Advantage of PCA method compared to conventional approaches is that numerical weather prediction model producing wind forecasts is not required. Two important input parameters are analyzed: the wind ramp duration and the wind ramp magnitude, respectively. Results show rapid increase of the first principal component value, when ramp duration is prolonging, nevertheless other two components seems to be insensitive in this case. Boxplots are illustrated for simple comparability of resultant distributions. The number of down ramp events is always lower than the number of up ramps, and with increasing percentage threshold these numbers are decreasing exponentially. Moreover trends of average PCA values for down ramp events are not monotone with significant jumps and drops.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) : proceedings
ISBN
978-1-5090-2320-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
123-131
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Florencie
Event date
Jun 7, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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