Document Type : Original Article


1 Electrical Power & Energy Affairs, Islamic Republic of Iran Broadcasting (I.R.I.B), Tehran, Iran

2 Center of Excellence on Power Systems, Wind Energy Laboratory, Electrical Engineering Department, Amirkabir University of Technology, Tehran 15914, Iran

3 Department of Elactrical Engineering, University of Zanjan, Zanjan, Iran

4 Energy Systems Group, Faculty of Applied Science and Engineering, University of Toronto, Ontario, Canada

5 Department of Elactrical Engineering, College of Engineeting, West Tehran Branch, Islamic Azad University, Tehran, Iran

6 Department of Elactrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran

7 Assistant Professor, Electrical Machine Research Group, Niroo Research Institute.

8 Department of Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan


Wind power as a renewable energy has the potential to become a clean energy source in almost all countries of the world but, there are lots of technical challenges that need to be addressed in advance. Wind speed variation (WSV) is one of the most important issues. Separate from its mechanical effects on wind turbines (WTs), it causes electrical power variations on WT as well. Doubly Fed Induction Generators (DFIGs) and Maximum Power Point Tracking (MPPT) system have been helpful so far but some problems such as inertia still needed to be solved. Inertia in the WTs causes a delay on MPPT.
This paper proposes a novel method to increase WTs output power in which a DFIG equipped with an energy storage system such as Ultra-capacitor helps MPPT system to track the wind variations rapidly by absorption or injection energy during the wind changes. The ultra-capacitor and control system are modeled and simulated in Matlab/Simulink® environment. The simulation results proofs that the proposed system can improve electrical power and increase electrical energy during WSVs. The simulation model will lead to more penetration of wind power and also enables engineers to optimize the system.