Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics
Source abstract
Abstract
A combined strategy of torque error feed-forward control and blade-pitch angle servo control is proposed to improve the dynamic power capture for wind turbine maximum power point tracking (MPPT). Aerodynamic torque is estimated using the unscented Kalman filter (UKF). Wind speed and tip speed ratio (TSR) are estimated using the Newton–Raphson method. The error between the estimated aerodynamic torque and the steady optimal torque is used as the feed-forward signal to control the generator torque. The gain parameters in the feed-forward path are nonlinearly regulated by the estimated generator speed. The estimated TSR is used as the reference signal for the optimal blade-pitch angle regulation at non-optimal TSR working points, which can improve the wind power capture for a wider non-optimal TSR range. The Fatigue, Aerodynamics, Structures, and Turbulence (FAST) code is used to simulate the aerodynamics and mechanical aspects of wind turbines while MATLAB/SIMULINK is used to simulate the doubly-fed induction generator (DFIG) system. The example of a 5 MW wind turbine model reveals that the new method is able to improve the dynamic response of wind turbine MPPT and wind power capture.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Wind Turbine Control Systems · Wind Energy Research and Development · Microgrid Control and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Intelligent Manufacturing Technology of MOE, ShanTou University, Shantou 515063, China
Institute of Energy and Environmental Science, ShanTou University, Shantou 515063, China
Funding
Science and Technology Planning Project of Guangdong Province · National Natural Science Foundation of China · National High-tech Research and Development Program
References (23)
Show source-provided references
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