Power control of a wind energy based on a DFIG by sliding mode approach and pitch angle optimal control by genetic algorithm
Journal Title: Journal of Achievements in Materials and Manufacturing Engineering - Year 2016, Vol 74, Issue 2
Abstract
Purpose: In this paper, a regulate of a variable wind energy conversion system, based ona doubly fed induction generator DFIG is proposed, the system we considered is controlledto generate maximum energy while minimizing loads. In low to medium wind speeds, thegenerator and the power converter control the wind turbine to capture maximum energyfrom the wind, in the high-wind-speed regions, the wind turbine is controlled to maintainthe aerodynamic power produced by the wind turbine. Generator torque and Pitch angle arecontrolled simultaneously to maximize energy capture.Design/methodology/approach: Two methods for adjusting the aerodynamic powerhave been studied: For generator load control, The DFIG control structure contains rotorcurrents and stator powers loops where PI controllers are used. This control could beobtained by applying a DFIG active and reactive power decoupling strategy based on statorflux orientation method, Another controller based on a sliding mode theory is adopted tomaximize the extracted power has been used , both of which are employed to regulatethe operation of the DFIG. For the pitch control, a nonlinear controller based on artificialintelligence techniques: genetic algorithms, to regulate the blade pitch angle and rotatespeed of the wind turbine system.Findings: Proposed DFIG and pitch control algorithms provide good static and dynamicperformances. Validity the strategies proposed was analyzed by simulations.Originality/value: The intelligent controller is proposed to blade pitch position controlabove the rated wind speed in this paper; Genetic Algorithm based controller gave betterresults. Simulated wind turbine parameters are obtained from a real turbine and generatingsystem. Hence, proposed controllers can be easily adapted to real time applications andoperated with real wind turbines. Compared simulation results validate the proposedmethod in the paper is an effective method.
Authors and Affiliations
O. Belghazi, R. Douiri, M. Cherkaoui
Keywords
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