Determination of steady state control laws of doubly - fed induction generator using natural and power variables

Balogun, Adeola; Ojo, Olorunfemi; Okafor, Frank; Karugaba, Sosthenes

doi:10.1109/ecce.2010.5617750

Cited by 4 publications

(3 citation statements)

References 11 publications

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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%

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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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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%

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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“…The controller results in decoupled control and the tracking of the generated active and reactive powers of the system. Direct control of the torque and direct control of the power outputs of the DFIG were established based on the input-output feedback linearization technique in [38,39]. In [40], an adaptive nonlinear control strategy based on a feedback linearization scheme was proposed for a DFIG-based WEC system; a disturbance observer was added to estimate the uncertainties in the parameters of the system.…”

Section: Introductionmentioning

confidence: 99%

Feedback Linearization Controller for a Wind Energy Power System

2016

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This paper deals with the control of a doubly-fed induction generator (DFIG)-based variable speed wind turbine power system. A system of eight ordinary differential equations is used to model the wind energy conversion system. The generator has a wound rotor type with back-to-back three-phase power converter bridges between its rotor and the grid; it is modeled using the direct-quadrature rotating reference frame with aligned stator flux. An input-state feedback linearization controller is proposed for the wind energy power system. The controller guarantees that the states of the system track the desired states. Simulation results are presented to validate the proposed control scheme. Moreover, further simulation results are shown to investigate the robustness of the proposed control scheme to changes in some of the parameters of the system.

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Sensitivity analysis of symmetrical direct control of torque and power variables of doubly-fed induction generator

Balogun

Ojo

Okafor

2013

2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

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Determination of steady state control laws of doubly - fed induction generator using natural and power variables

Cited by 4 publications

References 11 publications

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

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

Feedback Linearization Controller for a Wind Energy Power System

Sensitivity analysis of symmetrical direct control of torque and power variables of doubly-fed induction generator

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