Control of dual stator induction generator integrated in wind energy conversion system

Benakcha, Meryem; Benalia, Leila; Ameur, Fatima; Tourqui, Djamel Eddine

doi:10.30521/jes.351269

Cited by 15 publications

(17 citation statements)

References 17 publications

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“…On the other hand, wind speed, wind direction, barometric pressure and air temperature parameters are considered as the meteorological parameters affecting the wind turbine power generation. In terms of the importance factor achieved, wind speed parameter shows more promising 8th International Conference on Renewable Energy Research and Applications Brasov, ROMANIA, Nov. [3][4][5][6]2019…”

Section: Discussionmentioning

confidence: 99%

Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation

Eyecioğlu

Hangun

Kayışlı

et al. 2019

2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)

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Over the past decade, wind energy has gained more attention in the world. However, owing to its indirectness and volatility properties, wind power penetration has increased the difficulty and complexity in dispatching and planning of electric power systems. Therefore, it is needed to make the high-precision wind power prediction in order to balance the electrical power. For this purpose, in this study, the prediction performance of linear regression, k-nearest neighbor regression and decision tree regression algorithms is compared in detail. k-nearest neighbor regression algorithm provides lower coefficient of determination values, while decision tree regression algorithm produces lower mean absolute error values. In addition, the meteorological parameters of wind speed, wind direction, barometric pressure and air temperature are evaluated in terms of their importance on the wind power parameter. The biggest importance factor is achieved by wind speed parameter. In consequence, many useful assessments are made for wind power predictions.

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Section: Discussionmentioning

confidence: 99%

Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation

Eyecioğlu

Hangun

Kayışlı

et al. 2019

2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)

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“…Transformation of periodic curves into Fourier analysis to determine the harmonic of the waveforms is widely used in characteristics of electrical machine [28] or others [29]. We perform a harmonic analysis of performance of the PM machine.…”

Section: Transient Case and Harmonic Analysismentioning

confidence: 99%

Electromagnetic design of a new radial flux permanent magnet motor

Bouloukza¹,

Mordjaoui²,

Kurt

et al. 2018

Journal of Energy Systems

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This paper proposes a new design study for a three-phase permanent magnet motor. The radial flux machine has 12 pole type magnets in its rotor internally and a surface mounted stator has 36 coils surrounding the cores. Initially, a magnetostatic study has been performed, and then a 2D transient finite element analysis has been realized in order to verify the new design concept. Then, a harmonic analysis is performed to see the harmonic impact on the design performance and achieving a good prototype. The new-designed machine is promising since it gives symmetrical field structure under operation and the electromagnetic torques and current waveforms characteristics are good for different angular spreading of magnet.

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“…The wind conversion system is composed of minimum elements able to optimize the transfer of the wind energy. Ideally, only one turbine, one transmission shaft, one rotating electrical generator and unidirectional or bidirectional electronic converters are required [4,5].…”

Section: Introductionmentioning

confidence: 99%

A New Control Strategy of Dual Stator Induction Generator with Power Regulation

Hamitouche¹,

Chekkal²,

Amimeur³

et al. 2020

JESA

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In this paper modelling and analysis of stand-alone dual stator induction generator (DSIG) with non-identical parameters under a new method has been done. The induction machine has two sets of stator three-phase windings spatially shifted by 30 electrical degrees. One supplied power to the DC load via a rectifier bridge and AC capacitors, and the other was connected to the battery banks by an inverter to store energy and restore it to regulate the power of the first stator in weak wind. We develop the steady state model and show the performances of different configurations by the simulation results.

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Control of dual stator induction generator integrated in wind energy conversion system

Cited by 15 publications

References 17 publications

Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation

Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation

Electromagnetic design of a new radial flux permanent magnet motor

A New Control Strategy of Dual Stator Induction Generator with Power Regulation

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