NDLI: Data generated type-2 fuzzy logic model for control of wind turbines

Content Provider	IEEE Xplore Digital Library
Author	Zaher, M. Hagras, H.
Copyright Year	2010
Description	Author affiliation: Computer Science Engineering, German University in Cairo, GUC, New Cairo City, Egypt (Zaher, M.) \|\| School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester, UK (Hagras, H.)
Abstract	Wind energy is becoming one of the most important and promising areas of renewable energy. During the past few years, wind energy generation underwent strong improvements in several fields including power electronics, mechanics, wind dynamics, etc. However, there is a high need to develop more intelligent control mechanisms that can handle the various sources of uncertainties encountered in wind turbines and allow maximum power to be obtained from wind. The recent years have witnessed the use of type-2 fuzzy logic systems to generate controllers which are able to provide robust control performances in the face of high levels of uncertainty. This paper presents a method to generate a type-2 fuzzy logic model entirely from data to provide a dynamic footprint of uncertainty for the generated fuzzy set. The fuzzy model will be used to predict the wind speed experienced by a wind turbine without the use of sensors. This estimated wind speed is then passed for another fuzzy controller that changes the pitch angles of the wind turbine blades in order to track the maximum power available.
Starting Page	80
Ending Page	85
File Size	301107
Page Count	6
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687286
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Fuzzy sets Uncertainty Wind speed Noise Data models Wind turbines
Content Type	Text
Resource Type	Article

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