Advanced Gain Scheduled Control of A DFIG based on a H-Darrieus Wind Turbine for Maximum Power Tracking and Frequency Support

Abstract

Voltage dips are a major problem in grid connected turbines as they cause voltage imbalance in the grid and are likely to cause a shutdown in the turbine operation momentarily. Wind turbines such as Vertical axis wind turbines (VAWTs) have poor self-starting characteristics. In addition, a large breaking mechanism will require a long time to settle back to steady state operation. A doubly fed induction generator (DFIG) based VAWT plant offers great flexibility against highly fluctuating turbulent winds of urban set-ups. This paper proposes a control mechanism that ensures frequency support to the grid and also protects the VAWT from severe conditions of the grid voltage imbalance. In this work, A LPV, gain scheduled control approach based on linear matrix inequalities (LMIs) is applied for the vector control of small scale VAWT based doubly fed induction generator (DFIG). The results show satisfactory performance and response of the proposed control system. The study algorithms were coded and implemented in MATLAB R2018a & Simulink. Hopefully, the study findings will provide more insight into the application of doubly fed induction generators with small-scale vertical axis wind turbines.