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논문 기본 정보

자료유형
학술저널
저자정보
Mahdi Hayatdavudi (Islamic Azad University) Mojtaba Saeedimoghadam (Islamic Azad University) Seyed M.H Nabavi (Islamic Azad University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.4
발행연도
2013.7
수록면
863 - 871 (9page)

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초록· 키워드

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Control of pitch angle of turbine blades is among the controlling methods in the wind turbines; this measure is taken for managing mechanical power generated by wind turbine in different wind velocities. Taking into account the high significance of the power generated by wind turbine and due to the fact that better performance of pitch angle is followed by better quality of turbine-generated power, it is therefore crucially important to optimize the performance of this controller. In the current paper, a PI controller is primarily used to control the pitch angle, and then another controller is designed and replaces PI controller through applying a new strategy i.e. alternating two ADALINE neural networks. According to simulation results, performance of controlling system improves in terms of response speed, response ripple, and ultimately, steady tracing error. The highly significant feature of the proposed intelligent controller is the considerable stability against variations of wind velocity nd system parameters.

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Abstract
Ⅰ. Introduction
Ⅱ. Wind Velocity Model
Ⅲ. Characteristics of Wind Turbines
Ⅳ. Controlling the Pitch Angle
Ⅴ. Simulation
Ⅵ. Conclusions
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UCI(KEPA) : I410-ECN-0101-2014-500-003356432