PROJECT TITLE :

Offset Free Direct Power Control of DFIG Under Continuous Time Model Predictive Control

ABSTRACT:

For doubly fed induction generators, this work proposes a robust continuous-time model predictive direct power control (DFIG). Stator current in the synchronous reference frame can be predicted using Taylor series expansion in a finite time horizon. Stator current predictions are used to compute the required rotor voltage to minimise the difference between real stator currents and their reference values over the expected time period. Disturbance observers are included in the control loop to remove the steady-state error of the stator current, as the proposed technique is highly sensitive to parameter fluctuations and external disturbances. There are basic design factors that can be used to identify both steady-state and transient performance. Stator current is directly estimated from the intended stator active and reactive powers without taking into account the specifications of the machine itself in this article. As a result, the DFIG does not require an additional power control loop in its control structure to run smoothly. The experimental findings of the grid-connected DFIG prove the viability of the proposed technique, and satisfactory results are achieved.