Fuzzy logic control of grid connected DFIG system using back-to-back converters

Abdelhak Dida () and Djilani Ben Attous ()
Additional contact information
Abdelhak Dida: Biskra University
Djilani Ben Attous: El-Oued University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 1, No 13, 129-136

Abstract: Abstract This paper deals with the power generation control in variable speed wind turbines. In this context, the wind energy conversion system is equipped with a doubly-fed induction generator (DFIG) and two back-to-back PWM voltage source converters in the rotor circuit. A vector control of the rotor side converter (RSC) provides an independent control of stator active and reactive power and optimal speed tracking for maximum energy capture. A vector control scheme for the grid side converter (GSC) gives an independent control of slip active and reactive power exchanged between the grid and the GSC, in order to ensure sinusoidal supply currents and to maintain DC-link voltage constant. In this paper, an intelligent fuzzy inference system is proposed as alternative of the conventional PI controller to overcome any disturbance, three fuzzy controllers are used in the RSC for the speed, active and reactive power control, another fuzzy inference system is proposed as PI gain tuner for the DC-link voltage control loop. Performances have been tested on 1.5 MW DFIG by using Matlab/Simulink software environment.

Keywords: Fuzzy logic control; Vector control; Wind turbine; MPPT; DFIG (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-014-0309-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-014-0309-3

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-014-0309-3

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().