Design and Validation of Demanded Power Point Tracking Control Algorithm for MIMO Controllers in Wind Turbines

Taesu Jeon,Insu Paek,Yuan Song,Dongmyoung Kim

doi:10.3390/en14185818

Abstract

In this study, a demanded power point tracking (DPPT) control algorithm was designed for the application of multiple-input multiple-output (MIMO) modern control algorithms. The proposed DPPT control algorithm has been newly implemented as a multiple reference trajectory method for applying an MIMO control algorithm without mode switches. Dynamic simulations and wind tunnel experiments were performed using a scaled wind turbine to validate the proposed control algorithm. The wind speeds were 4.6 and 7.3 m/s, the average wind speeds corresponding to region 2 and region 3, respectively, with a turbulence intensity of 10%. Both sets of results demonstrated satisfactory performance for tracking the power commands transmitted from the wind farm controller. Furthermore, the proposed control algorithm was compared and validated with a DPPT control algorithm proposed in previous studies, and its improved control performance and validity were confirmed.

Highlights

Wind turbine control systems are implemented to allow the wind turbines to operate automatically while responding appropriately to changes in wind speed and direction.In a region with wind speeds lower than the rated wind speed, the generator torque is controlled to ensure that the wind turbine tracks the maximum power points while the blade pitch angle is maintained at the fine pitch angle
The weights and gains of the LQRF controller are tuned through simulations to the rated wind speed, wherein the blade pitch angle is maintained at a fine pitch angle, and wind tunnel experiments
Region 2 is the range from the cut-in wind speed to the rated wind speed, wherein the blade pitch angle is maintained at a fine pitch angle, and the generator torque is applied so that the wind turbine tracks the maximum power points

Summary

Introduction

Wind turbine control systems are implemented to allow the wind turbines to operate automatically while responding appropriately to changes in wind speed and direction.In a region with wind speeds lower than the rated wind speed, the generator torque is controlled to ensure that the wind turbine tracks the maximum power points while the blade pitch angle is maintained at the fine pitch angle. In a region with a speed higher than the rated wind speed, the blade pitch angle is controlled to maintain the rated generator speed of the wind turbine, and at the same time, the generator torque is fixed at the rated value or slightly adjusted to maintain the rated power [1]. The PI or PID control, which has been utilized in various fields as a classical SISO control, has been conventionally implemented to control wind turbines This method consists of two SISO loops, each capable of controlling the blade pitch angle and the generator torque, to generate power with different strategies for different wind speed regions [1]. SISO control algorithms for wind turbines were further developed to provide new strategies for improving power performance and reducing mechanical load

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Methods

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Conclusion