Nonlinear Control of Variable-Speed Wind Turbines for Generator Torque Limiting and Power Optimization

Boukhezzar, Boubekeur; Siguerdidjane, Houria; Hand, M.

doi:10.1115/1.2356496

Cited by 132 publications

(82 citation statements)

References 8 publications

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“…One of them is to optimize the capture of energy from the wind utilizing effective control strategies [4][5][6][7]. The contributions of these studies include new control structures, even for the aeroturbine mechanical part [4,6,7] and the electrical components [5][6][7] that overcome some of the drawbacks of existing control methods. For the mechanical part control, the control design is generally based on a local linearized model of the WTS around its operating points [4].…”

Section: Introductionmentioning

confidence: 99%

“…The stator is directly connected to the grid while the rotor is fed through a variable frequency convertor. In order to produce electrical active power at constant voltage and frequency, the active power flow between the rotor circuit and the grid is controlled both in magnitude and direction by controlling the stator flux and rotor current of the asynchronous generator using standard nonlinear [5,6] and/or adaptive control techniques [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Design Optimization of Variable-Speed Wind Turbine Systems

Eminoğlu

Ayasun

2014

Energies

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As a result of the increase in energy demand and government subsidies, the usage of wind turbine system (WTS) has increased dramatically. Due to the higher energy production of a variable-speed WTS as compared to a fixed-speed WTS, the demand for this type of WTS has increased. In this study, a new method for the calculation of the power output of variable-speed WTSs is proposed. The proposed model is developed from the S-type curve used for population growth, and is only a function of the rated power and rated (nominal) wind speed. It has the advantage of enabling the user to calculate power output without using the rotor power coefficient. Additionally, by using the developed model, a mathematical method to calculate the value of rated wind speed in terms of turbine capacity factor and the scale parameter of the Weibull distribution for a given wind site is also proposed. Design optimization studies are performed by using the particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms, which are applied into this type of problem for the first time. Different sites such as Northern and Mediterranean sites of Europe have been studied. Analyses for various parameters are also presented in order to evaluate the effect of rated wind speed on the design parameters and produced energy cost. Results show that proposed models are reliable and very useful for modeling and optimization of WTSs design by taking into account the wind potential of the region. Results also show that the PSO algorithm has better performance than the ABC algorithm for this type of problem.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling and Design Optimization of Variable-Speed Wind Turbine Systems

Eminoğlu

Ayasun

2014

Energies

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“…Figure 3 shows the two-mass model of the WT. Equation (8) represents dynamics of the rotor speed with rotor inertia driven by the aerodynamic torque ( ):…”

Section: Wt Modelmentioning

confidence: 99%

“…Estimation of effective wind speed by an inversion of static aerodynamic model with known pitch angle is discussed in [7]. Nonlinear static and dynamic state feedback linearization control is addressed in [8,9] where both the single-and two-mass model are taken into consideration and the wind speed is estimated by using Newton Raphson (NR). To accommodate the parameter uncertainty and robustness a higher order sliding mode controller is proposed in [10], which ensures the stability of the controller in both the regions that is, below and above rated speed.…”

Section: Introductionmentioning

confidence: 99%

Control of Variable Speed Variable Pitch Wind Turbine at Above and Below Rated Wind Speed

Saravanakumar

Jena

2014

Journal of Wind Energy

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The paper presents a nonlinear approach to wind turbine (WT) using two-mass model. The main aim of the controller in the WT is to maximize the energy output at varying wind speed. In this work, a combination of linear and nonlinear controllers is adapted to variable speed variable pitch wind turbines (VSVPWT) system. The major operating regions of the WT are below (region 2) and above rated (region 3) wind speed. In these regions, generator torque control (region 2) and pitch control (region 3) are used. The controllers in WT are tested for below and above rated wind speed for step and vertical wind speed profile. The performances of the controllers are analyzed with nonlinear FAST (Fatigue, Aerodynamics, Structures, and Turbulence) WT dynamic simulation. In this paper, two nonlinear controllers, that is, sliding mode control (SMC) and integral sliding mode control (ISMC), have been applied for region 2, whereas for pitch control in region 3 conventional PI control is used. In ISMC, the sliding manifold makes use of an integral action to show effective qualities of control in terms of the control level reduction and sliding mode switching control minimization.

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“…In addition, the significant power excursions common to constant speed turbines are avoided. However, sophisticated control algorithms are necessary for variable speed wind turbines to be profitable and reliable: intelligent approaches are introduced in control of these machines [1][2][3][4]. The objective is to optimize for these machines power efficiency and to enhance quality during operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Neural Control Strategies for Variable Speed Wind Turbine

Brahmi¹,

Chtourou²,

Djemel³

2013

IJCA

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The control of variable speed wind turbines is a complex problem since they are considered as nonlinear and time varying systems. In general, classical control techniques do not take into consideration the stochastic and dynamical aspect of the wind and they are not very robust. In order to address these weaknesses, neural approaches are proposed: a direct neural model DNM of the wind turbine is elaborated and then an inverse neural controller INC is developed. The other objective of this study is to optimize the power generated by the wind turbine. To achieve this aim, we have elaborated a neural controller which takes into account the optimal speed of the turbine. Finally, some modifications of the neural control strategy are used to improve the results. The neural controllers were tested with a wind turbine simple mathematical model. The obtained results have shown better performance in comparison with classical control techniques.

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Nonlinear Control of Variable-Speed Wind Turbines for Generator Torque Limiting and Power Optimization

Cited by 132 publications

References 8 publications

Modeling and Design Optimization of Variable-Speed Wind Turbine Systems

Modeling and Design Optimization of Variable-Speed Wind Turbine Systems

Control of Variable Speed Variable Pitch Wind Turbine at Above and Below Rated Wind Speed

Neural Control Strategies for Variable Speed Wind Turbine

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