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SVR-based Wind Speed Estimation for Power Control of Wind Energy Generation System

Research Authors
Ahmed G. Abo-Khalil
Research Department
Research Year
2010
Research Journal
Middle- East Power System Conference
Research Rank
1
Research Website
http://ieeexplore.ieee.org/Xplore/login.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4239117%2F4239118%2F04239342.pdf%3Farnumber%3D4239342&authDecision=-201
Research Abstract

This paper presents a new wind speed estimation method for a variable speed wind turbine system, where the theory of SVR (support vector regression) is applied. The turbine speed is controlled to capture the maximum power according to the optimal tip-speed ratio. The inputs of SVR estimator are the wind turbine power and the rotational speed. By off-line training, a specified function which relates the input with the output is obtained. Then, the wind speed is determined from this predicted off-line function and the instantaneous input. The simulation and experimental results have shown that the wind speed is estimated rapidly and accurately