Sustainable production of wind energy in the main Morocco's sites using permanent magnet synchronous generators

Mourabit, Youness El; Derouich, Aziz; Allouhi, A.; Ghzizal, Abdelaziz El; Ouanjli, Najib El; Zamzoumyes, Othmane

doi:10.1002/2050-7038.12390

Cited by 20 publications

(12 citation statements)

References 29 publications

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“…According to the rotating field reference frame of Park, the model of the DFIG is given by the following set of equations 24 , 20 – 22 , 25 , 26 : …”

Section: Modeling Of a Wind System Based On The Dfigmentioning

confidence: 99%

Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Sci Rep

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This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations), which reduces the system's precision. We propose in this work a solution to cancel this chattering phenomenon by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power is significant. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on the Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work, either by follow-up or robustness tests, show a significant performance improvement compared to other control techniques.

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“…According to the rotating field reference frame of Park, the model of the DFIG is given by the following set of equations 24 , 20 – 22 , 25 , 26 : …”

Section: Modeling Of a Wind System Based On The Dfigmentioning

confidence: 99%

Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…According to the rotating field reference frame of Park, the model of the DFIG is given by the following set of equations [21] , [22], [23], [24], [25]:…”

Section: Dfig Model"mentioning

confidence: 99%

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Preprint

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This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems, and the improvement of the quality of energy produced in the grid. The use of the Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations) which reduces the precision of the system. we propose in this work a solution to cancel this chattering phenomenon, by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power are very important. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work either by follow-up or robustness tests show a great improvement in terms of performance compared to other control techniques.

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“…The performances and working characteristics of these generators have been investigated in the literature from many perspectives. [2][3][4][5] Among these generators, permanent magnet List of symbols and abbreviations: T cog , cogging torque; ℜ, air gap reluctance; φ air , air gap flux amount; θ, rotor position; T mk , Fourier coefficient; m, the least multiple of rotor pole number and stator slot number; K sk , skew efficiency; α sk , the ratio of the skew angle to the slot pitch; S, stator slot number; N C , the period of cogging torque; 2P, the number of poles; PMSGs, permanent magnet synchronous generators; FEA, finite elements analysis; FEM, finite elements method; THD, total harmonic distortion; HCF, highest common factor; LCM, least common multiple.. synchronous generators (PMSGs) are machines that have quick temporary response, 6 high efficiency, 7 requiring less maintenance as they do not need gear system, 8 and high reliability. 9 PMSGs have found a wide range of application in parallel with especially the discovery of rare-earth magnets and technological developments in switching elements.…”

Section: Introductionmentioning

confidence: 99%

“…Various types of generators are used in wind turbines. The performances and working characteristics of these generators have been investigated in the literature from many perspectives 2‐5 . Among these generators, permanent magnet synchronous generators (PMSGs) are machines that have quick temporary response, 6 high efficiency, 7 requiring less maintenance as they do not need gear system, 8 and high reliability 9 .…”

Section: Introductionmentioning

confidence: 99%

Cogging torque analysis in permanent magnet synchronous generators using finite elements analysis

Dalcalı

2020

Int Trans Electr Energ Syst

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Background: A number of generator types are used as energy converters in wind turbines. Despite the advantages of PMSG such as high-power density, high efficiency and low speed, the effect of the cogging torque occurring in PMSG must be reduced. Aim: The aim of this study is cogging torque optimization of internal rotor, surface mounted, PMSGs used in wind turbines with high number of slots and poles (84/14). Materials and methods: The performance and cogging torque characteristic of the generator have been studied by the finite element analysis (FEA) method. Results: While the cogging torque value of the initial generator 580 mNm, with changing skew it is optimized to 277.04 mNm, with changing pole arc offset it is tuned to 550 mNm. With a notch on the magnet and teeth it is minimized to 417.25 mNm and 383.9 mNm, respectively. Finally, increasing the ratio of slot opening to slot pitch, undermine the value of cogging torque. Conclusions: The obtained results illustrate that any improvement in cogging torque characteristic using the applied methods accordingly compromises other merits such as flux density, output power, labor and cost.

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Sustainable production of wind energy in the main Morocco's sites using permanent magnet synchronous generators

Cited by 20 publications

References 29 publications

Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Cogging torque analysis in permanent magnet synchronous generators using finite elements analysis

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