Quantum mechanics

Algorithm

Control (management)

Step response

Voltage

Engineering

Doubly fed electric machine

Transient (computer programming)

MATLAB

Biology

Voltage sag

Control engineering

Operating system

Low voltage

Computer science

Grid

Controller (irrigation)

Settling time

Low voltage ride through

Mechanical engineering

Induction generator

Physics

Nonlinear system

AC power

Sliding mode control

Mathematics

Agronomy

Artificial intelligence

Geometry

Turbine

Wind power

Power quality

Control theory (sociology)

Mode (computer interface)

Electrical engineering

Energy Reports

The grid-connected Doubly Fed Induction Generator (DFIG) system is exposed to severe grid faults. The DFIG is sensitive to grid disturbances, which lead to consideration in the controller design. This paper proposed the Modified Super Twisting (MST) algorithm for the Low Voltage Ride Through (LVRT) enhancement under voltage sag condition. This proposed algorithm is implemented using the 2nd Order Sliding Mode (SOSM) to control the DFIG based wind generator. The higher-order switching functions are introduced in the SOSM for sliding surface control. Moreover, the Lyapunov analysis for the MST algorithm brings down the chattering amplitude. The advantages of the proposed algorithm are that it reduces the system uncertainties, chattering effect and improves the settling period of the system parameters. The performance of the proposed algorithm is compared with existing algorithms in the literature with the help of MATLAB/SIMULINK. The Hardware-In-Loop (HIL) is used to validate the simulation results, which have been performed on the OPAL-RT setup. In addition, the proposed algorithm is also tested on an equivalent model of the practical Wind Farm (WF). Based on the studies, it is found that the proposed algorithm enhanced the LVRT performance of the single Wind Turbine (WT)-DFIG system as well as the practical WF under transient conditions.

Modified Super Twisting algorithm based sliding mode control for LVRT enhancement of DFIG driven wind system