Modelling and fuzzy logic control of DFIG based Wind Energy Conversion Systems

Belmokhtar, K.; Doumbia, Mamadou Lamine; Agbossou, Kodjo

doi:10.1109/isie.2012.6237380

Cited by 29 publications

(18 citation statements)

References 13 publications

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“…Application of Concordia and Park's transformations to a the three-phase model of the DFIG allows writing the dynamic voltages and fluxes equations in an arbitrary (d-q) reference frame [4,24]. …”

Section: A Dfig Modellingmentioning

confidence: 99%

Online parameter identification for a DFIG driven wind turbine generator based on recursive least squares algorithm

Belmokhtar

Ibrahim

Merabet

2015

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)

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This paper describes a fault detection system strategy, which is suitable for wind generators, and may contribute to prevent failures occurring in wind energy conversion systems such as short-circuit. Indeed, the reliability of wind turbines is important in order to capture the maximum power. The proposed strategy is based on the recursive least square method for on-line identification of the generator parameters. Moreover, this approach helps to improve the model-based controller performance. The effectiveness of the proposed strategy is established through Matlab/Simulink environment.

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Section: A Dfig Modellingmentioning

confidence: 99%

Online parameter identification for a DFIG driven wind turbine generator based on recursive least squares algorithm

Belmokhtar

Ibrahim

Merabet

2015

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)

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“…The WTS model based on DFIG using q-d arbitrary reference frame with Park and Clarke transformation is also proposed in [1], [2] and [3]. The voltages, flux equations, active, reactive power and electromagnetic torque of the DFIG are:…”

Section: Fig 1 Wts With Dfigmentioning

confidence: 99%

“…To absorb maximum power extract from various wind velocity, DFIG seems to be the best choice. Mathematical model and control of DFIG is mentioned in [1], [2], and [3]. DFIG has advantages such as: reduced mechanical stress especially is on the mechanical parts, reduced noise sound and allowed to operate both active and reactive modes [3].…”

Section: Introductionmentioning

confidence: 99%

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Modeling a Wind Turbine System Using DFIG and Realization of Current Control on the Model with Fuzzy Logic Controller

Thien

2014

AETA 2013: Recent Advances in Electrical Engineering and Related Sciences

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Abstract. In this work, the modeling of wind turbine systems applying Doubly Fed Induction Generator is proposed. The mathematical model and control are investigated by analyzing theory and simulating performed in LabVIEW environment. All of characteristic parameters as well as the power generation process can be observed easily on LabVIEW. Besides, a comparison of reference current responses on the rotor side converter using conventional PI, PID and fuzzy controllers is also realized in this paper. The results obtained from the system with the presented control technologies indicated that the fuzzy logic controller has current response faster with almost no steady-state error than the conventional PI and PID controllers. Keywords:The Human-machine interface, general model, vector control, fuzzy inference, active and reactive power, the center of area.

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“…It reduces stresses of the mechanical structure, acoustic noise reduction and the possibility to regulate both active and reactive power. Another advantage of the DFIG system is that the back-to-back PWM converters, connected between the grid and the induction machine rotor circuit, are sized only for a part of the full power of the generator (about 30%) [1], [2]. This paper presents a complete modeling and performance comparison for the control of the DFIG WECS connected to the network Proportional-Integral (PI) and Sliding Mode (SM) controllers are used.…”

Section: Introductionmentioning

confidence: 99%

Direct active and reactive power control of DFIG based WECS using PI and sliding mode controllers

Hamane

Doumbia

Bouhamida

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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This paper presents a power control study of a Wind Energy Conversion System (WECS) based on a DoublyFed Induction Generator (DFIG) connected to the electric power grid. Proportional-Integral (PI) and Sliding Mode (SM) controls are used to compare the system's performances in terms of reference tracking and robustness to disturbance rejection and with respect to the machine parameters variation. The DFIG control method is based on vector direct control loop with stator flux orientation and the active and reactive powers are controlled PI and sliding mode Simulation studies were performed using Matlab/Simulink/ SimPowerSystems software.

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Modelling and fuzzy logic control of DFIG based Wind Energy Conversion Systems

Cited by 29 publications

References 13 publications

Online parameter identification for a DFIG driven wind turbine generator based on recursive least squares algorithm

Online parameter identification for a DFIG driven wind turbine generator based on recursive least squares algorithm

Modeling a Wind Turbine System Using DFIG and Realization of Current Control on the Model with Fuzzy Logic Controller

Direct active and reactive power control of DFIG based WECS using PI and sliding mode controllers

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