Analysis of Wind Ramp Events Using PCA of 3D Tables of their Conditional Probabilities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39899391" target="_blank" >RIV/00216275:25530/15:39899391 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EPE.2015.7161121" target="_blank" >http://dx.doi.org/10.1109/EPE.2015.7161121</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE.2015.7161121" target="_blank" >10.1109/EPE.2015.7161121</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of Wind Ramp Events Using PCA of 3D Tables of their Conditional Probabilities
Original language description
Wind is one of the fastest growing sources of renewable energy. However, its intermittency and stochastic nature often hamper integration of wind-generated energy in electric power networks. The most significant obstacles to efficient wind integration are the wind ramps, sudden changes of wind power output caused by dramatic changes in wind speed. Most ramp prediction methods derive future ramp estimates from forecast power series. This contribution suggests a different approach that would directly analyze wind power time series and other weather parameters to identify specific patterns and dependencies signaling approaching ramp events. In this paper, the 3D tables of ramp events' conditional probabilities are evaluated using principal component analysis. Two different datasets are analyzed. First one contains power production hourly collected from August 2011 to July 2012 on sample wind farm located close to Lethbridge, AB Canada. The other consists of total BPA wind power production
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
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2015 16th International Scientific Conference on Electric Power Engineering, EPE 2015
ISBN
9781467367882
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
158-162
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Kouty nad Desnou
Event date
May 20, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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