Power and velocity control of wind turbines by adaptive fuzzy controller during full load operation
MetadataShow full item record
© 2016, University of Sistan and Baluchestan. All rights reserved. Research on wind turbine technologies have focused primarily on power cost reduction. Generally, this aim has been achieved by increasing power output while maintaining the structural load at a reasonable level. However, disturbances, such as wind speed, affect the performance of wind turbines, and as a result, the use of various types of controller becomes crucial. This paper deals with two adaptive fuzzy controllers at full load operation. The first controller uses the generated power, and the second one uses the angular velocity as feedback signals. These feedback signals act to control the load torque on the generator and blade pitch angle. Adaptive rules, derived from the fuzzy controller, are defined based on the differences between state variables of the power and angular velocity of the generator and their nominal values. The results, which are compared with verified results of reference controller, show that the proposed adaptive fuzzy controller in full load operation has a higher efficiency than that of reference ones, insensitive to fast wind speed variation that is considered as disturbance.
Showing items related by title, author, creator and subject.
Yunus, A. M. Shiddiq (2012)Due to the rising demand of energy over several decades, conventional energy resources have been continuously and drastically explored all around the world. As a result, global warming is inevitable due to the massive ...
Reduction of frequency fluctuation for wind farm connected power systems by an adaptive artificial neural network controlled energy capacitor systemMuyeen, S.M.; Hasanien, H.; Jamura, J. (2012)Frequency fluctuations are a major concern for transmission system operators and power grid companies from the beginning of power system operation due to their adverse effects on modern computer-controlled industrial ...
Power improvement of non-linear wind turbines during partial load operation using fuzzy inference controlHabibi, H.; Koma, A.; Howard, Ian (2017)Power generation in modern and industrial wind turbines can be improved by careful choice and analysis of operational control strategies. In this paper a new controller scheme is proposed in partial load operation of the ...