Abdolreza Tavakoli
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Abdolreza Tavakoli has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Abdollah Aghazadeh
Electronic Branch, Islamic Azad University, Tehran
1 shared publication - Alireza Bakhshinejad
Department of Engineering, Islamic Azad University, Lahijan Branch, Lahijan, Iran
1 shared publication - Alireza Sahab
Department of Electrical Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran
1 shared publication - Amir Gholami
Department of Electrical Engineering, Lahijan Branch, Islamic Azad University, 39515-44169 Lahijan, Iran
1 shared publication - Behnam Alizadeh
Department of Electrical Engineering, Lahijan Branch, Islamic Azad University, 39515-44169 Lahijan, Iran
1 shared publication - Farzad Arasteh
Electronic Branch, Islamic Azad University, Tehran
1 shared publication
Latest Publications
- 22 April 2021
- Published by Taylor & Francis in IETE Journal of Research
- Vol. 69 (6) , 3467-3476
DFIG-Based Wind Energy System Robust Optimal Control by Using of Novel LMI-Based Adaptive MPC
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.
- 22 April 2021
- Published by Taylor & Francis in IETE Journal of Research
- Vol. 69 (6) , 3467-3476
DFIG-Based Wind Energy System Robust Optimal Control by Using of Novel LMI-Based Adaptive MPC
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.
- 10 August 2020
- Published by Springer Nature in Electrical Engineering
- Vol. 103 (1) , 325-340
Modeling and simultaneous management of electric vehicle penetration and demand response to improve distribution network performance
- 10 August 2020
- Published by Springer Nature in Electrical Engineering
- Vol. 103 (1) , 325-340
Modeling and simultaneous management of electric vehicle penetration and demand response to improve distribution network performance
- Open Access
- 18 July 2016
- Published by Indian Society for Education and Environment in Indian Journal of Science and Technology
- Vol. 9 (26)
Investigation of Boost Converter to Track Maximum Power Point for the Doubly Fed Induction Generators in the Wind Farm
Background/Objectives: In this paper, tracking the Maximum Power Point for the Doubly Fed Induction Generators in the Wind Farm through a boost converter is analyzed. Methods/Statistical Analysis: Achieving maximum power at wind farm and subsequently improving power quality disturbances in power systems is very important. Methods used to track the maximum power point are: 1-TSR control 2-P&O control 3-ORB control This paper, presents a combination of P&O and ORB control method to extract maximum power at Doubly Fed Induction Generators (DFIG). Findings: In this method, there is no need to anemometer and the recent information of wind speed. In addition, the little Fluctuations near the maximum power point, is an improved factor in this technique. Simulation results using Matlab software, proves the truth of this claim.
- 18 July 2016
- Published by Indian Society for Education and Environment in Indian Journal of Science and Technology
- Vol. 9 (26)
Open AccessInvestigation of Boost Converter to Track Maximum Power Point for the Doubly Fed Induction Generators in the Wind Farm
Background/Objectives: In this paper, tracking the Maximum Power Point for the Doubly Fed Induction Generators in the Wind Farm through a boost converter is analyzed. Methods/Statistical Analysis: Achieving maximum power at wind farm and subsequently improving power quality disturbances in power systems is very important. Methods used to track the maximum power point are: 1-TSR control 2-P&O control 3-ORB control This paper, presents a combination of P&O and ORB control method to extract maximum power at Doubly Fed Induction Generators (DFIG). Findings: In this method, there is no need to anemometer and the recent information of wind speed. In addition, the little Fluctuations near the maximum power point, is an improved factor in this technique. Simulation results using Matlab software, proves the truth of this claim.