Ouput power smoothening of variable-speed wind turbine systems by pitch angle control

Van, Tan Luong; Lee, Dong-Choon

doi:10.1109/asscc.2012.6523258

Cited by 12 publications

(9 citation statements)

References 6 publications

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“…Also, C p is the aerodynamic efficiency of rotor. PMSG voltage equations and other equation of wind turbine are presented in [35,46]. Enhancement of microgrid dynamic responses under fault… Fig.…”

Section: Wind Turbine and Pmsg Modelingmentioning

confidence: 99%

“…In this paper, the FLC by applying wind speed and active power as inputs is proposed to smooth the output power fluctuations of WT in above rated speed and a comparison of the performances of the FLC with the conventional PI controller. Moreover, another drawback in mentioned papers is that they are not practically connected to grid to investigate the system performance [33][34][35].…”

Section: Introductionmentioning

confidence: 98%

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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: Introductionmentioning

confidence: 98%

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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“…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 [31,38]. Aerodynamic wind power is calculated in following equations.…”

Section: Wind Turbine Modelingmentioning

confidence: 99%

“…As in mentioned items, wind speed's is ignored, the controller have not fast response and may cause mechanical damages to synchronous generator. Further, another problem with these studies is that they are not practically connected to the grid to analyze the system performance [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

Izadbakhsh¹,

Rezvani²,

Gandomkar³

2015

Archives of Electrical Engineering

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Abstract:In this paper, dynamic response improvement of the grid connected hybrid system comprising of the wind power generation system (WPGS) and the photovoltaic (PV) are investigated under some critical circumstances. In order to maximize the output of solar arrays, a maximum power point tracking (MPPT) technique is presented. In this paper, an intelligent control technique using the artificial neural network (ANN) and the genetic algorithm (GA) are proposed to control the MPPT for a PV system under varying irradiation and temperature conditions. The ANN-GA control method is compared with the perturb and observe (P&O), the incremental conductance (IC) and the fuzzy logic methods. In other words, the data is optimized by GA and then, these optimum values are used in ANN. The results are indicated the ANN-GA is better and more reliable method in comparison with the conventional algorithms. The allocation of a pitch angle strategy based on the fuzzy logic controller (FLC) and comparison with conventional PI controller in high rated wind speed areas are carried out. Moreover, the pitch angle based on FLC with the wind speed and active power as the inputs can have faster response that lead to smoother power curves, improving the dynamic performance of the wind turbine and prevent the mechanical fatigues of the generator.

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“…In [15] active power and in [13,14] both reactive power and rotational rotor speed are used as input signals and because in mentioned items wind speed's been ignored, the controller has not fast response and may cause mechanical damages to synchronous generator. Also, another problem in these articles that it is not practically connected to grid [14][15][16][17][18], but the grid connected mode in this paper is proposed to analyse the system performance. In recent years, many topologies based on power electronic devices with different level of complexity and cost is developed investigated in order to connect a PMSG to network.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Responses Improvement of Grid Connected WPGS Using FLC in High Wind Speeds

Izadbakhsh¹,

Gandomkar²

2014

IJSCMC

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Environmental and sustainability concerns are developing the significance of distributed generation (DG) based on renewable energy sources. In this paper, dynamic responses investigation of grid connected wind turbine using permanent magnet synchronous generator (PMSG) under variable wind speeds and load circumstances is carried out. In order to control of turbine output power using Fuzzy Logic controller (FLC) in comparison with PI controller is proposed. Furthermore, the pitch angle based on FLC using wind speed and active power as inputs, can have faster responses, thereby leading to smoother power curves, enhancement of dynamic performance of wind turbine and prevention of mechanical damages to PMSG. Inverter adjusted the DC link voltage and active power is fed by d-axis and reactive power is fed by q-axis (using P-Q control mode). Simulation of wind power generation system (WPGS) is carried out inMatlab/Simulink, and the results verify the correctness and feasibility of control strategy.

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Ouput power smoothening of variable-speed wind turbine systems by pitch angle control

Cited by 12 publications

References 6 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

Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

Dynamic Responses Improvement of Grid Connected WPGS Using FLC in High Wind Speeds

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