Lyapunov-Based Robust Power Controllers for a Doubly Fed Induction Generator

author

  • Y. Djeriri Intelligent Control and Electrical Power Systems Laboratory, Faculty of Electrical Engineering, Djillali Liabes University, PO Box 89, Sidi Bel-Abbes, 22000, Algeria.
Abstract:

In this work, a robust nonlinear control technique of a doubly fed induction generator (DFIG) intended for wind energy systems has been proposed. The principal idea in this article is to decouple the active and reactive power of the DFIG with high robustness using the backstepping strategy. The principle of this control method is based on the Lyapunov function, in order to guarantee the global asymptotic stability of the system. Finally, we present some simulation results in order to verify the efficiency and robustness of the proposed control technique.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Optimal Operation of Doubly-fed Induction Generator used in a Grid-Connected Wind Power System

In this paper, a wind power system based on a doubly-fed induction generator (DFIG) is modeled and simulated. To guarantee high-performance control of the powers injected into the grid by the wind turbine, five intelligent super-twisting sliding mode controllers (STSMC) are used to eliminate the active power and current ripples of the DFIG. The STSMC controller is a high-order sliding mode cont...

full text

Introduction to Doubly-Fed Induction Generator for Wind Power Applications

This chapter introduces the operation and control of a Doubly-fed Induction Generator (DFIG) system. The DFIG is currently the system of choice for multi-MW wind turbines. The aerodynamic system must be capable of operating over a wide wind speed range in order to achieve optimum aerodynamic efficiency by tracking the optimum tip-speed ratio. Therefore, the generator’s rotor must be able to ope...

full text

Doubly-fed Induction Generator Drives for Wind Power Plants

This chapter presents the theoretical basics of the electric power generation using doublyfed induction drives in wind turbines. This type of drive is the most utilized in wind power plants nowadays. This is mainly due to its fast dynamic response and reduced power electronics on the rotor side. This latter aspect is responsible for less harmonic pollution in the network and reduced acquisition...

full text

Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator

The combination of neural networks and fuzzy controllers is considered as the most efficient approach for different functions approximation, and indicates their ability to control nonlinear dynamical systems. This paper presents a hybrid control strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on the Brushless Doubly fed Induction Generator (BDFIG). This replaces the sliding surfa...

full text

Sliding-Mode-based Improved Direct Active and Reactive Power Control of Doubly Fed Induction Generator under Unbalanced Grid Voltage Condition

This paper proposes an improved direct active and reactive power control (DPC) strategy for a grid-connected doubly fed induction generator (DFIG) based wind-turbine system under unbalanced grid voltage condition. The method produces required rotor voltage references based on the sliding mode control (SMC) approach in stationary reference frame, without the requirement of synchronous coordinate...

full text

Loss of Excitation Detection in Doubly Fed Induction Generator by Voltage and Reactive Power Rate

The doubly fed induction generator (DFIG) is one of the most popular technologies used in wind power systems. With the growing use of DFIGs and increasing power system dependence on them in recent years, protecting of these generators against internal faults is more considered. Loss of excitation (LOE) event is among the most frequent failures in electric generators. However, LOE detection stud...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 16  issue 4

pages  551- 558

publication date 2020-12

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023