Dual Stator Winding Induction Machine: Problems, Progress, and Future Scope

Basak, Saptarshi; Chakraborty, Chandan

doi:10.1109/tie.2015.2409800

Cited by 92 publications

(32 citation statements)

References 103 publications

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“…A very interesting and discussed multiphase solution is a dual-stator induction machine (DSIM) that has two sets of three-phase windings spatially shifted by 30 electrical degrees with isolated neutral points. Modeling, control, and performance of the dual star induction machine has been extensively covered in [2,6,[3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] This paper investigates a control system for double star induction generator that uses a rotor flux orientation. A systematic analysis of this control system is carried out for wide ranges of both load and speed.…”

Section: Introductionmentioning

confidence: 99%

Improved field oriented control for stand alone dual star induction generator used in wind energy conversion

2020

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This paper presents a novel direct rotor flux oriented control with online estimation of magnetizing current and magnetizing inductance applied to self-excited dual star induction generator equipping a wind turbine in remote sites. The induction generator is connected to nonlinear load through two PWM rectifiers. The fuzzy logic controller is used to ensure the DC bus voltage a constant value when changes in speed and load conditions. In this study, a performance comparison between the conventional approach and the novel approach is made. The proposed control strategy is validated by simulation in Matlab/Simulink.

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Section: Introductionmentioning

confidence: 99%

Improved field oriented control for stand alone dual star induction generator used in wind energy conversion

2020

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“…Generally, the poles of the stator are chosen in the ratio of 1 to 3 (e.g., 2:6 or 4:12). The standard operating mode of a DSWIM is obtained when the ratio of two frequencies feeding the machine is equal to the ratio of the number of poles [1][2][3]. The most common method of speed control in the IMs is the vector control method [4].…”

Section: Introductionmentioning

confidence: 99%

Controlling the speed and flux of a dual stator winding induction motor using an emotional intelligent controller and integration algorithm

Moayedirad¹,

Shamsinejad²

2018

Turk J Elec Eng & Comp Sci

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The appropriate efficiency of a dual stator winding squirrel-cage induction motor (DSWIM) is obtained when the ratio of two frequencies feeding the machine is equal to the ratio of the number of poles. In the vector control method, the estimation of flux at low speed is difficult. To solve this problem, researchers have benefited from the free capacity of the two windings of the stator. This makes the motor deviate from its standard operating mode at low speed. The main purpose of the present study is to reduce the power losses of the inverter units in the sensorless DSWIM drive using the proposed control scheme at low speed. In this control scheme, the speed is estimated based on the modified intelligent model reference adaptive system (MIMRAS) without estimating the stator resistance at low speed. The proposed methods were simulated in MATLAB/Simulink software, and the results of simulation confirmed the assumptions.

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“…The first one supplies the end users and the second stator is used to control the reactive power and to maintain the output voltage of the power stator at an acceptable level [11]. These features give the SE-DSWIG the property of unifying the reactive power in both of stators, which participate in the improvement of the delivered power's quality [12].…”

Section: Introductionmentioning

confidence: 99%

“…A compensator installed at the Point of common coupling (PCC) is necessary to maintain the voltage at an acceptable level. Generally, the compensator could be the capacity bank that should be designed depending on the prime mover speed and the load size [12]. A static compensator is more suitable for this case but a passive filter has to be inserted between the compensator and grid to protect the end users against harmonics [13].…”

Section: Introductionmentioning

confidence: 99%

Performance Study of a Self-Excitation Dual Stator Winding Induction Generator for Renewable Distributed Generation Systems

Hamoud¹,

Doumbia²,

Chériti³

2016

SGRE

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Renewable power generation is a suitable technology used to deliver energy locally to customers especially in remote regions. Wind energy based on induction generator situates in a foreground position in the total energy produced using renewable sources. In the last few decades, a new selfexcitation generator was based on multi-stator induction strongly emerges. This article presents a systematic modelling, a detailed analysis and the performance analysis of self-excitation dual stator winding induction generator (SE-DSWIG). The modelling of the SE-DSWIG was done with taking in account the common mutual leakage inductance between stators and the magnetizing inductance, which played a principal role in the stabilization of the output voltage in the steady state. The generator feeds the end user emulated by an inductive-resistive load. In order to simulate the weather conditions' variation, a step change of the prime mover speed was applied on the SE-DSWIG. A passive series and shunt compensator was used to mitigate the voltage sag and swell appeared in the power system due to wind variation and the lack of reactive power consumed by the inductive load.

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Dual Stator Winding Induction Machine: Problems, Progress, and Future Scope

Cited by 92 publications

References 103 publications

Improved field oriented control for stand alone dual star induction generator used in wind energy conversion

Improved field oriented control for stand alone dual star induction generator used in wind energy conversion

Controlling the speed and flux of a dual stator winding induction motor using an emotional intelligent controller and integration algorithm

Performance Study of a Self-Excitation Dual Stator Winding Induction Generator for Renewable Distributed Generation Systems

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