Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization. Issue 5 (29th July 2018)

• Record Type: Journal Article
• Authors: Zamzoum, Othmane; El Mourabit, Youness; Errouha, Mustapha; Derouich, Aziz; El Ghzizal, Abdelaziz
• Is Part Of: Energy science & engineering. Volume 6:Issue 5(2018)
• Page Start: 408
• Page End: 423
• Publication Date: 2018-07-29
• Subjects: doubly fed induction generator -- field‐oriented control -- fuzzy logic controller -- maximum power point tracking -- scaling factor -- variable speed wind turbine; Energy industries -- Periodicals; Energy development -- Periodicals; Power resources -- Periodicals; 621.042
• DOI: 10.1002/ese3.215
• Languages: English
• ISSNs: 2050-0505

Abstract

Abstract: The main objective of this study is to improve the energy quality extracted by variable speed wind turbine based on doubly fed induction generator. First, the dynamic modeling of different parts of the system is presented. The electrical machine is modeled in PARK reference frame. Thereafter, the control technique is detailed. Indirect field‐oriented control with fuzzy logic controllers (FLC) is used to control the rotor currents and consequently the real and reactive powers of the stator generator. Then, the design of FLC is detailed by tuning its most significant parameters, which are scaling factor rules base and membership functions. Finally, a simulation using the MATLAB/SIMULINK environment is carried out to prove the validation of the control strategy using a 2 MW wind turbine. The results show a satisfactory performance in terms of rapidity, stability, and precision under variable wind speed conditions. Abstract : A variable wind energy conversion system based on DFIG is considered. Optimal power maximum power point tracking strategy is proposed. The parameters of the fuzzy logic controller are optimized.