Adaptive maximum power point tracking control of wind turbine system based on wind speed estimation

  • Hyun, Jong-Ho (Faculty of Wind Energy Engineering Graduate School, Jeju National University) ;
  • Kim, Kyung-Youn (Dept. of Electronic Engineering, Jeju National University)
  • Received : 2018.05.14
  • Accepted : 2018.06.22
  • Published : 2018.06.30


In the variable-speed wind energy system, to achieve maximum power point tracking (MPPT), the wind turbine should run close to its optimal angular speed according to the wind speed. Non-linear control methods that consider the dynamic behavior of wind speed are generally used to provide maximum power and improved efficiency. In this perspective, the mechanical power is estimated using Kalman filter. And then, from the estimated mechanical power, the wind speed is estimated with Newton-Raphson method to achieve maximum power without anemometer. However, the blade shape and air density get changed with time and the generator efficiency is also degraded. This results in incorrect estimation of wind speed and MPPT. It causes not only the power loss but also incorrect wind resource assessment of site. In this paper, the adaptive maximum power point tracking control algorithm for wind turbine system based on the estimation of wind speed is proposed. The proposed method applies correction factor to wind turbine system to have accurate wind speed estimation for exact MPPT. The proposed method is validated with numerical simulations and the results show an improved performance.


Supported by : Jeju National University


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