DFIG-Based Wind Energy System Robust Optimal Control by Using of Novel LMI-Based Adaptive MPC

Abstract

The wind turbine system is one of the most challenging control problems in power systems due to its fast and slow dynamics and the optimal and robust control of the doubly fed induction generator is particularly important in this system. To handle the desired performance under different conditions, this paper presents a new control method by combining the model predictive control method with the adaptive method. In the aforementioned method by decoupling the active and reactive power control, an adaptive method is used to estimate the uncertainty, disturbance, and nonlinear terms as well as the internal feedback design. Then, linear matrix inequality-based robust model predictive control is designed as external feedback. The Lyapunov method is used to demonstrate system stability under the proposed controller. The simulation results show the efficiency of the method under different scenarios.

KEYWORDS:

• Adaptive estimation
• Model predictive control
• Robust control
• uncertainty
• Wind energy system

Additional information

Notes on contributors

Amir Gholami

Amir Gholami received his BSc degree in electrical engineering from Lahijan Branch Islamic Azad University in 2002. He obtained his MSc degree in mechatronic engineering from Qazvin Branch Islamic Azad University, Iran in 2004. Since 2015, he is a PhD candidate in Lahijan branch Islamic Azad University. His research areas include adaptive, robust, and predictive control. E-mail: [email protected]

Alireza Sahab

Alireza Sahab received his BSc degree in electrical engineering from Khajeh Nasir Toosi University of Technology, Iran in 2001. He got his MSc and PhD degrees in control engineering from Shahrood University of Technology in 2003 and 2009, respectively. Since 2004 he has been with the Electrical Engineering Department, Lahijan Branch Islamic Azad University, Iran where he is now an assistant professor and HoD. His research areas include nonlinear systems, robust, and optimization. Corresponding author. E-mail: [email protected]

Abdolreza Tavakoli

Abdolreza Tavakoli was born in Iran in 1970. He received the BSc MSc and PhD degrees in power engineering from KNT University of Technology, Amirkabir University of Technology, and Islamic Azad University, Science and Research branch, Tehran, Iran in 1992, 1997, and 2006, respectively. Currently, he is a professor of power engineering in the Department of Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran. His interests include industrial power network design and power system design and power electronics. E-mail: [email protected]

Behnam Alizadeh

Behnam Alizadeh received his BSc degree in electrical engineering from University of Tehran in 2005. He got his MSc (Hons) and PhD degrees in power systems engineering from Iran University of Science & Technology in 2007 and 2014, respectively. Since 2012, he has been with the Electrical Engineering Department, Islamic Azad University of Lahijan, where he is now an assistant professor. His research areas include different topics in power systems planning and operation. E-mail: [email protected]