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Model predictive control-based wind turbine blade pitch angle control for alleviation of frequency fluctuation in a smart grid

Author:
Pahasa, J.
,
Ngamroo, I.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/POWERCON.2014.6993840
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1037961
Keyword(s): Entropy,Indexes,Power system reliability,Reliability,Substations,Uncertainty,Cloud model,Maximum variance,Substation site selection,UHV
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    Model predictive control-based wind turbine blade pitch angle control for alleviation of frequency fluctuation in a smart grid

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contributor authorPahasa, J.
contributor authorNgamroo, I.
date accessioned2020-03-12T21:07:44Z
date available2020-03-12T21:07:44Z
date issued2014
identifier other6925862.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1037961?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleModel predictive control-based wind turbine blade pitch angle control for alleviation of frequency fluctuation in a smart grid
typeConference Paper
contenttypeMetadata Only
identifier padid8164392
subject keywordsEntropy
subject keywordsIndexes
subject keywordsPower system reliability
subject keywordsReliability
subject keywordsSubstations
subject keywordsUncertainty
subject keywordsCloud model
subject keywordsMaximum variance
subject keywordsSubstation site selection
subject keywordsUHV
identifier doi10.1109/POWERCON.2014.6993840
journal titlelectrical Engineering Congress (iEECON), 2014 International
filesize2095329
citations0
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