Power Extraction Control of Variable Speed Wind Turbine Systems Based on Direct Drive Synchronous Generator in All Operating Regimes

Errami, Youssef; Obbadi, Abdellatif; Sahnoun, Smail; Ouassaid, Mohammed; Maâroufi, Mohamed

doi:10.1155/2018/3837959

Cited by 6 publications

(5 citation statements)

References 47 publications

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“…The mathematical modeling of the PMSG is given in the dq-axes reference frame. The stator voltage (v d and v q ) equations are given by [24][25][26]:…”

Section: Surface Permanent Magnet Synchronous Generator Modelingmentioning

confidence: 99%

“…where: R s : the stator resistance; L d and L q : the d-q axis inductances; i d and i q : the stator currents in the d-q axis and ω e : the electrical speed of the generator, it is related to the mechanical speed Ω m by [24][25][26]:…”

Section: Surface Permanent Magnet Synchronous Generator Modelingmentioning

confidence: 99%

“…1, SPMSG is with smooth poles which mean that the d-q axis inductances are equal (L d = L q ), the electromagnetic torque given by the Eq. (32) can be then expressed by [25]:…”

Section: Surface Permanent Magnet Synchronous Generator Modelingmentioning

confidence: 99%

See 2 more Smart Citations

Direct Drive Permanent Magnet Synchronous Generator: Design, Modeling, and Control for Wind Energy Applications

Larabi,

Ghedamsi,

Aouzellag

2024

Period. Polytech. Elec. Eng. Comp. Sci.

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The prominent trend in wind turbine technology centers on the adoption of direct-drive permanent magnet synchronous generators (DD-PMSG), a choice driven by their capacity to deliver superior efficiency through the elimination of gearboxes.This paper presents a comprehensive exploration of the design, modeling, and control aspects of a DD-PMSG intended for harnessing wind energy conversion. Initially, the geometrical design of the generator is meticulously carried out, adhering to predefined technical specifications and constraints. Subsequently, an in-depth internal modeling, focusing on the electromagnetic behavior of the designed generator, is executed using finite element analysis (FEA) through the Ansys Maxwell RMXpert software. Finally, the external modeling and control system integration of the designed generator, connected to the grid through power electronic converters, are simulated using the Matlab/Simulink software suite. The resulting findings underscore the efficacy and viability of the proposed generator for wind turbine applications, affirming its potential to enhance wind energy conversion systems.

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“…The mathematical modeling of the PMSG is given in the dq-axes reference frame. The stator voltage (v d and v q ) equations are given by [24][25][26]:…”

Section: Surface Permanent Magnet Synchronous Generator Modelingmentioning

confidence: 99%

Section: Surface Permanent Magnet Synchronous Generator Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Direct Drive Permanent Magnet Synchronous Generator: Design, Modeling, and Control for Wind Energy Applications

Larabi,

Ghedamsi,

Aouzellag

2024

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Nevertheless, the major problem of this type of wind turbine is the amplitude of the voltage produced at the terminals of the asynchronous generator. Frequency and the power generated depend on the connected load, the wind speed and self-excitation capacities [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Control of a variable speed asynchronous wind turbine dedicated to isolated site

Ouchbel¹,

Zouggar²,

Elhafyani³

et al. 2020

IJEECS

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<p>This paper focuses on the study of the asynchronous generator self-excited during operation in isolated mode. It concerns the analysis of a robust control of the asynchronous machine in order to improve the quality of the electrical energy produced in different environmental circumstances, and to promote the use of renewable energies in rural areas to improve education, the supply of drinking water, livestock and agriculture, access to information and communication. The present work concerns the description and modeling of the various mechanical parts of the wind turbine. It also tackles the steady-state and transient modeling of the asynchronous generator under self-excitation conditions. The practical results and the simulation ones have shown the influence of the self-excitation capacity on the output quantities of the wind system (voltage, current and torque) in vacuum and under charge (resistive and inductive). In the case where the asynchronous wind turbine is connected to a network, it imposes amplitude, waveform and frequency. But in the case of isolated sites, the asynchronous machine has a low power factor, what means it requires reactive energy. To correct this irregularity, we can improve the power factor by using variable capacitors. The excitation current (reactive power) must be permanently supplied according to the load connected. This requires an intelligent system that regulates the electrical energy produced. </p>

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“…Meanwhile an alternative way to cope efficiently with the nonlinear nature and varying operation conditions of PMSG WECS is to exploit nonlinear control designs. Accordingly feedback [16,17] and sliding mode [18][19][20][21][22][23][24][25] techniques have been successfully processed. An association of passivity theory with sliding mode control was proposed in [26] to remove the PMSG WECS nonlinearities and cope with various uncertainties.…”

Section: Introductionmentioning

confidence: 99%

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

Douanla

Kenné

Pelap

et al. 2018

Journal of Control Science and Engineering

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A modified control scheme based on the combination of online trained neural network and sliding mode techniques is proposed to enhance maximum power extraction for a grid connected permanent magnet synchronous generator (PMSG) wind turbine system. The proposed control method does not need the knowledge of the uncertainty bounds nor the exact model of the nonlinear system. Since the neural network is trained online, the time to estimate good weights can affect the dynamic performance of the process during the startup phase. Therefore an appropriate way to smoothly and explicitly accelerate the neural network rate of convergence during the startup phase is proposed. Furthermore, a flexible grid side voltage source converter control structure which can handle both grid connected and standalone modes based on conventional proportional integral (PI) control method is presented. Simulations are done in Matlab/Simulink environment to verify the effectiveness and assess the performance of the proposed controller. The results analysis shows the superiority of the proposed RBF neuro-sliding mode controller compared to a nonlinear controller based on sliding mode control method when the system undergoes parameter uncertainties.

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Power Extraction Control of Variable Speed Wind Turbine Systems Based on Direct Drive Synchronous Generator in All Operating Regimes

Cited by 6 publications

References 47 publications

Direct Drive Permanent Magnet Synchronous Generator: Design, Modeling, and Control for Wind Energy Applications

Direct Drive Permanent Magnet Synchronous Generator: Design, Modeling, and Control for Wind Energy Applications

Control of a variable speed asynchronous wind turbine dedicated to isolated site

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

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