Control of a Variable Speed wind Energy System for Maximum Power Using Genetic Algorithm


Abstract in English

This paper presents a strategy of variable speed wind turbine connected to a permanent magnet synchronous generator; the goal is to get the most possible wind turbines. We used a wind energy conversion system model consisting of a wind turbine, permanent magnet synchronous generator, rectifier, buck-boost chopper, inverter, load, and traditional controller PI to stabilize the voltage obtained from the wind turbine and synchronous generator at a variable wind speed. Then we used one of the artificial intelligence techniques represented by the genetic algorithm to get the maximum possible wind turbine. The traditional controller PI and the genetic algorithm we modeled using the Matlab R2014a program and from it we obtained the advantages of mechanical power for wind turbine and determined maximum power points at each wind speed.

References used

DAVIS, L. Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, 1991
GOLDBERG, D. E. Genetic algorithms in search, Optimization and Machine Learning. Addison-Wesley, Reading, MA, U.S.A, 1989
Xu, Diangyu.; Chen,YangQuan.; Atherton,Derek. "PIDControllerDesign", Society for Industrial and Applied Mathematics,2007
Daoud, Mohsen (2013). “Automated Control, Tishreen University, Directorate of Books and Publications
Rogres, Everett(2002). Understanding Buck-Boost Power Stages in Switch Mode Power Supplies.USA: Texas Instruments

Download