Enhancement of Output Power Smoothing and Transient Stability of DFIG-Based Wind Energy Conversion System Using Optimized Controllers Parameters

Abstract

In this paper, an attempt is made to tune the controllers of a doubly fed induction generator (DFIG)–based wind energy conversion system (WECS). The procedure is optimized to improve the performance of the WECS under both normal and transient operating conditions. It is shown that under normal operating conditions, the outer control loop of the rotor side converter, i.e., speed controller, affects the quality and quantity of output power. Therefore, to extract the maximum available power and smooth the power injected to the grid, this controller is tuned. On the other hand, other controllers affect the response of the DFIG during transient conditions. Thus, to improve the transient stability of the DFIG, the parameters of these controllers are tuned based on the eigenvalue analysis. To verify the performance of the proposed tuning method, comparisons between the proposed and conventional pole placement methods, under normal and fault operating conditions, are presented.

Keywords::

• doubly fed induction generator (DFIG)
• optimized control
• output power smoothing
• wind energy conversion system (WECS)

Additional information

Notes on contributors

Sadegh Ghani Varzaneh

Sadegh Ghani Varzaneh was born in Isfahan, Iran, in 1987. He received his B.Sc. degree from the Shahid Rajaee University, Tehran, Iran, in 2009, his M.Sc. degree from Amirkabir University of Technology, Tehran, Iran, in 2011, both in electrical engineering. He is currently working toward the Ph.D. degree at the Amirkabir University of Technology. His research interests include wind energy conversion system, power systems modeling, electrical machines, dynamic, stability and control of power system.

Mehrdad Abedi

Mehrdad Abedi received his B.Sc. degree from the Tehran University, Tehran, Iran, his M.Sc. degree from the London University, London, U.K., and his Ph.D. degree from the Newcastle University, Newcastle Upon-Tyne, U.K., in 1970, 1973, and 1977, respectively. He was with G.E.C. (U.K.) until 1978. He then joined the Department of Electrical Engineering, Amirkabir University of Technology, Tehran, where he is currently a professor and Head of the Center of Excellence on Power System. His main research interests include electrical machines, power systems modeling, dynamic, control and renewable energy systems.

Gevork B. Gharehpetian

Gevork B. Gharehpetian received his Ph.D. degree in electrical engineering in 1996 from the Tehran University, Tehran, Iran, graduating with First Class Honors. As a Ph.D. student, he has received scholarship from German Academic Exchange Service from 1993 to 1996 and he was with the High Voltage Institute of RWTH Aachen, Aachen, Germany. He held the assistant professor position at the Amirkabir University of Technology from 1997 to 2003, the position of associate professor from 2004 to 2007, and has been professor since 2007. He was selected by the ministry of higher education as the distinguished professor of Iran and by IAEEE as the distinguished researcher of Iran, and was awarded the National Prize in 2008 and 2010, respectively. He is the author of more than 1000 journal and conference papers. His teaching and research interests include power system and transformers transients and power electronics applications in power systems.

Amir Abolfazl Suratgar

Amir Abolfazl Suratgar was born in Arak, Iran, in 1974. He received the B.S. degree in electrical engineering from the Isfahan University of Technology, Isfahan, Iran, in 1996 with honored. He was honored M.S. and Ph.D. degrees in control engineering from the Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 1999 and 2002, respectively. He received the outstanding research award in 2005 and 2006 and outstanding education award in 2009 in Arak University. Currently, he is an associate professor in Amirkabir University of Technology (Tehran Polytechnic), Tehran. He has published more than 130 papers in international journals and conferences. The area of his research interests are artificial intelligence, computational neuroscience, optimal control, optimization, fuzzy system stability analysis, MEMS dynamics analysis and control.