Protection of DFIG wind turbine using fuzzy logic control

Ismail, Mohamed M.; Bendary, Ahmed F.

doi:10.1016/j.aej.2016.02.022

Cited by 33 publications

(16 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the relationship between the rotor voltages and the rotor currents can be established by substituting Equations (20) and (21) into V rd and V rq expressions 39 :…”

Section: Loop Control Of Rotor Currentsmentioning

confidence: 99%

“…This optimization is accomplished by tuning the scaling factor of speed error and change of error and the position of the MSF. The work presented by Ismail and Bendary deals with the protection of the DFIG against symmetric and asymmetric faults using fuzzy logic technique. This study focuses on adapting the MSF to have satisfactory performances.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Zamzoum

Mourabit

Errouha

et al. 2018

Energy Science & Engineering

View full text Add to dashboard Cite

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.

show abstract

“…Finally, the relationship between the rotor voltages and the rotor currents can be established by substituting Equations (20) and (21) into V rd and V rq expressions 39 :…”

Section: Loop Control Of Rotor Currentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zamzoum

Mourabit

Errouha

et al. 2018

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…Thanks to recent progress in modern power electronics, a wind turbine with a doubly fed induction generator (DFIG) has drawn increasing attention. In the DFIG, the induction generator is grid-connected at the stator as well as at the rotor mains via a converter (Ismail and Bendary, 2016). The oriented vector control was widely applied to the rotor side converter of the DFIG.…”

Section: Introductionmentioning

confidence: 99%

DFIG control: A fuzzy approach

Alnufaie¹

2019

Int. j. adv. appl. sci.

View full text Add to dashboard Cite

In this paper, we are going to discuss the fuzzy logic techniques and their importance in the control of the nonlinear systems. The double fed Induction generator (DFIG) is wildly used in wind energy conversion systems. The control of DFIG is very complicated due to its strong nonlinearities. The first case is a controller with 3 sets in inputs and outputs. The second case is a controller with 5 sets in inputs and outputs. The third case is a controller with 7 sets in inputs and outputs. The objective of this paper is to propose a new control strategy based on fuzzy logic in order to control the power of the wind turbine and make it adaptable to different constraints. A simulation study is done to validate this control strategy.

show abstract

“…In contrast with traditional linear and nonlinear control theory, a fuzzy logic controller (FLC) is not based on a mathematical model [10,11], is widely used to solve problems under uncertain and vague environments, with high nonlinearities, this type of control is framed on the basis of human logic [10].The use of (FLC) has become popular over the last decade and the development known microcontrollers have also helped in the popularization of this type of controller [11]. The (FLC) provides an algorithm, which converts the expert knowledge into an automatic control strategy.…”

Section: Introductionmentioning

confidence: 99%

Active and Reactive Power Control for DFIG Using PI, Fuzzy Logic and Self-Tuning PI Fuzzy Controllers

Tamaarat¹

2019

AMA_C

View full text Add to dashboard Cite

This paper presented a system consists of wind turbine operating under the wind speed change, doubly fed induction generator (DFIG) connected directly to the constant grid by the stator and fed by a power converter on the rotor side. Vector control is used to independently control the flow of active and reactive power between the stator of the (DFIG) and the grid, which in this paper is realized, with conventional PI, fuzzy logic and fuzzy self-tuning PI controllers. The proposed controllers generate the references rotor voltages required to guarantee active and reactive power reach their desired reference values. Modeling and simulation of system using MATLAB and their behavior has been examined with simulations. The dynamics of the system is analyzed under varying wind speed, this analysis is focused on the active and reactive power control. The results obtained from PI controller, fuzzy and Fuzzy self tuned PI controllers are compared to validate the advantages of the proposed intelligent controllers based on fuzzy systems.

show abstract

Protection of DFIG wind turbine using fuzzy logic control

Cited by 33 publications

References 8 publications

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

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

DFIG control: A fuzzy approach

Active and Reactive Power Control for DFIG Using PI, Fuzzy Logic and Self-Tuning PI Fuzzy Controllers

Contact Info

Product

Resources

About