An Intelligent Maximum Power Point Tracking Algorithm for Wind Energy System

An Intelligent Maximum Power Point Tracking Algorithm for Wind Energy System

To obtain the maximum power from the variable speed wind generator, fuzzy logic controller is used. Hill-Climbing Search (HCS) technique is used to track the maximum power point. The maximum power is tracked for different wind speeds and load impedance variations. The measurement of wind speed, and...

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Veröffentlicht in:International journal of computer applications 2013-01, Vol.65 (7)
Hauptverfasser: Devaki, P, Shree, J Devi, Nandini, S
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Shree, J Devi
Nandini, S
description To obtain the maximum power from the variable speed wind generator, fuzzy logic controller is used. Hill-Climbing Search (HCS) technique is used to track the maximum power point. The maximum power is tracked for different wind speeds and load impedance variations. The measurement of wind speed, and rectifier output voltage are applied to fuzzy logic controller to estimate and control the optimal of maximum output power. The inputs to the FLC are the normalized values of error and variation of error. Triangular membership functions are used for input and output variables. The performance of both the schemes are simulated and a comparison is made. The simulation work is done in MATLAB 2010 environment.
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