Modeling, simulation and control of grid connected Permanent Magnet Generator (PMG)-based small wind energy conversion system

Arifujjaman, Md.

doi:10.1109/epec.2010.5697174

Cited by 23 publications

(12 citation statements)

References 7 publications

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“…The amount of electricity a turbine is able to produce depends on the speed of the rotor and the speed of the wind that propels the rotor [45,46]. Aerodynamic wind power is calculated in Eq.…”

Section: Wind Turbine and Pmsg Modelingmentioning

confidence: 99%

“…The whole wind energy can be converted to mechanical energy and when the pitch angle starts to increase from the zero value, the wind attach angle to the blades will be increased, thereby leading to aerodynamic power reduction and consequently, drawing down the output power. Besides, the second signal is taken from anemometer nacelle [45,46].…”

Section: Pitch Angle Based On Fuzzy Controllermentioning

confidence: 99%

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Enhancement of microgrid dynamic responses under fault conditions using artificial neural network for fast changes of photovoltaic radiation and FLC for wind turbine

2015

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Microgrid is a low voltage electrical network with distributed generations, energy storage devices and controllable loads. This paper utilizes artificial neural network (ANN) to predict the optimum voltages in order to extract the maximum power and increment the efficiency of photovoltaic system. In this regard, the optimum voltages are achieved by the genetic algorithm (GA). Then these optimum values are used in ANN method. The results of ANN-GA is compared with the other methods that verified the proposed method with high accuracy which can track the maximum power point (MPP) under different insolation and temperature circumstances and also, meet the load demand with less fluctuation around the MPP.; also it can increase the convergence speed to achieve the MPP. As well as, the evaluation of fuzzy logic controller (FLC) in comparison with the PI controller in pitch angle of wind turbine (WT) is carried out. In order to control the output power of wind turbine, by implementing the wind speed and active power as inputs of FLC, it has faster responses, smoother power curves, less oscillation than aforementioned methods which lead to improve the dynamic responses of WT. The models are developed and applied in the Matlab/Simulink program.

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Section: Wind Turbine and Pmsg Modelingmentioning

confidence: 99%

Section: Pitch Angle Based On Fuzzy Controllermentioning

confidence: 99%

Enhancement of microgrid dynamic responses under fault conditions using artificial neural network for fast changes of photovoltaic radiation and FLC for wind turbine

2015

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“…1(a)). In some cases, an additional DC/DC converter in combination with a diode rectifier is used in the DC link for increasing the DC link voltage created by the rectifier and therefore, produce a higher output power in the DC link [2][3][4][5][6][7][8][9][10][11]. Possible converter topologies for SWT are shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Comparison of three phase rectifier topologies in small wind turbines

Buchert

Fuchs

2014

2014 16th European Conference on Power Electronics and Applications

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Small wind turbines are used for local energy production or in island networks. They are usually installed at places, where the wind speed is relatively low and considerable fluctuation occurs, resulting in a challenge to offer a high energy production especially at low and gusty wind speeds. For these conditions an optimal drive train has to be selected. In this paper the focus is on typical rectifier topologies applied to small wind turbines as a part of the drive train. Therefore, five rectifier topologies are analyzed and compared concerning relevant comparison factors: DC link voltage and current, the losses (efficiency) based on a virtual power semiconductor, the costs, the volume, the performance of the machine side currents and power vs. generator speed characteristics. The aim is to show with a help of a ranking method, which topology is the best due to the decided criteria.

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“…This model is then combined with the rectifier model to obtain the rectifier voltage and to map the power-speed curves to power-voltage ones [5], [8], [20].…”

Section: A Wind Turbinementioning

confidence: 99%

“…Different power converter topologies have been proposed for the case of grid-tied applications [21]- [24]. The most widely used converter topology on the generator side for low-power grid-tied systems consists of a diode rectifier and a boost converter [5]- [11], [25]. Alternatively a boost rectifier has also been proposed [26].…”

Section: Introductionmentioning

confidence: 99%

Control of a small wind turbine in the high wind speed region

Lumbreras

Guerrero

Garcı́a

et al. 2014

2014 IEEE Energy Conversion Congress and Exposition (ECCE)

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Abstract-This paper proposes a new soft-stalling control strategy for grid-connected small wind turbines operating in the high and very high wind speed conditions. The proposed method is driven by the the rated current/torque limits of the electrical machine and/or the power converter, instead of the rated power of the connected load, which is the limiting factor in other methods. The developed strategy additionally deals with the problem of system startup preventing the generator from accelerating to an uncontrollable operating point under a high wind speed situation. This is accomplished using only voltage and current sensors, not being required direct measurements of the wind speed nor the generator speed. The proposed method is applied to a small wind turbine system consisting of a permanent magnet synchronous generator and a simple power converter topology. Simulation and experimental results are included to demonstrate the performance of the proposed method. The paper also shows the limitations of using the stator back-emf to estimate the rotor speed in permanent magnet synchronous generators connected to a rectifier, due to significant d-axis current at high load.

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Modeling, simulation and control of grid connected Permanent Magnet Generator (PMG)-based small wind energy conversion system

Cited by 23 publications

References 7 publications

Enhancement of microgrid dynamic responses under fault conditions using artificial neural network for fast changes of photovoltaic radiation and FLC for wind turbine

Enhancement of microgrid dynamic responses under fault conditions using artificial neural network for fast changes of photovoltaic radiation and FLC for wind turbine

Comparison of three phase rectifier topologies in small wind turbines

Control of a small wind turbine in the high wind speed region

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