Design of a wind turbine pitch angle controller for power system stabilisation

Jauch, Clemens; Islam, Syed; Sørensen, Poul Ejnar; Jensen, Birgitte Bak

doi:10.1016/j.renene.2006.12.009

Cited by 54 publications

(42 citation statements)

References 11 publications

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“…Figure 3 shows a block diagram of the pitch angle control system, where C 2 (s) is the PID pitch angle controller and G 2 (s) is the model of wind turbine system. The controller, which was modified from a PI to a PID [1], is presented as Equation (3).…”

Section: Problem Formulation For Identifying the Stability Region Of mentioning

confidence: 99%

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Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems

2014

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Abstract:A strategy was proposed to determine the optimal operating point for the proportional-integral-derivative (PID) controller of a wind turbine, and identify the stability regions in the parameter space. The proposed approach combined particle swarm optimization (PSO) and radial basis function neural network (RBFNN) algorithms. These intelligent algorithms are artificial learning mechanisms that can determine the optimal operating points, and were used to generate the function representing the most favorable operating p i k k − parameters from each parameter of d k for the stability region of the PID controller. A graphical method was used to determine the 2D or 3D vision boundaries of the PID-type controller space in closed-loop wind turbine systems. The proposed techniques were demonstrated using simulations of a drive train model without time delay and a pitch control model with time delay. Finally, the 3D stability boundaries were determined the proposed graphical approach with and without time delay systems.

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Section: Problem Formulation For Identifying the Stability Region Of mentioning

confidence: 99%

“…The proportional-integral-derivative (PID) controller is the most common closed-loop control system, and using a PID is the easiest and simplest way to design the pitch control system [1,2]. In addition to typical PID control systems, studies have proposed alternative methods for controlling the pitch angle.…”

Section: Introductionmentioning

confidence: 99%

Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems

2014

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“…In the conventional wind turbines, the turbine axial torque Takana and Tanida, Mechanical Engineering Journal, Vol.4, No.1 (2017) [DOI: 10.1299/mej. is limited to the maximum generator torque by controlling the pitch angle of the turbine blades in the case of excessive wind velocity (Song et al, 2000, Muljadi and Butterfield, 2001, Stol and Balas, 2003, Jauch et al, 2007, Schnack, 2009). The benefit of this device is the fast response of the rotational torque to the applied magnetic field, as mentioned earlier.…”

Section: Introductionmentioning

confidence: 99%

Development and fundamental characteristics of co-axial MHD energy conversion device

Takana

Tanida

2017

Mechanical Engineering Journal

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Innovative electro-magnetic energy conversion device has been developed. This device has co-axial configuration with liquid metal filled inside under applied magnetic field. The azimuthal liquid metal flow is decelerated by Lorentz force acting as a body force. The rotational torque continuously increases with excessive kinetic energy converted into electric energy by increasing magnetic field. The static and dynamic characteristics of the device have experimentally investigated with AC servo-motor as a driving source. The experimental results show that the rotational torque can be controlled with electric power extraction by applied magnetic field and external load resistance. The liquid metal inside the device is driven in the azimuthal direction directly by the electrically insulated propeller on the shaft and the electric power is extracted with proportionally to the square of shaft rotational speed. The required rotational torque increases with applied magnetic flux density due to dominant eddy current induced by non-uniform magnetic field in azimuthal direction. The constant rotational speed can be maintained with power generation by controlling applied magnetic flux density even for increasing input torque. It was clarified that the time constant for the control of the rotational speed becomes smallest when the changing time of applied magnetic flux density and that of input torque are equal. IntroductionInnovative electro-magnetic energy conversion device has been developed based on the insights from the previous theoretical and experimental researches on liquid metal magnetohydrodynamic (MHD) power generator (Hunt and Moreau, 1976, Kobayashi et al., 2012, Hu et al., 2015, Yamaguchi et al., 2008, Niu et al., 2012 and also on MHD viscous coupler or hydrostatic thrust bearing utilizing liquid metal (Kamiyama and Sato, 1973). The developed device has coaxial configuration with liquid metal filled inside under applied magnetic field. As described later, the rotating shaft and outer electrode are in direct contact with liquid metal and the liquid metal is driven in the a azimuthal direction directly by the electrically insulated propeller on the shaft under magnetic field applied in perpendicular to the liquid metal flow. Therefore, the friction loss between liquid metal and outer electrode remains low, which could be a merit of using liquid metal instead of solid metal.In this device, the kinetic energy is directly transfered to electric energy according to the Faraday's law and shaft rotational torque increases with magnetic field by Lorentz force acting against the liquid metal flow. Since Lorentz force is acting liquid metal flow as a body force and the shaft is directly in contact with the liquid metal, the rotational torque responses rather fast to the magnetic field. This could be a great merit for the industrial application where quick control of the rotational torque is required. Because of the advantage of fast response and co-axial configuration of the device, this device can be applied to ...

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“…The authors in [8] propose a proportional-integralderivative (PID) pitch angle controller for a fixed speed active-stall wind turbine. The controller is designed using root-locus method and the nonlinearities of the system are taken into account to determine the second-order transfer functions using step response which represents the system more accurately compared to linear representation.…”

Section: Introductionmentioning

confidence: 99%

“…The controller is designed using root-locus method and the nonlinearities of the system are taken into account to determine the second-order transfer functions using step response which represents the system more accurately compared to linear representation. The actual transfer function of the wind turbines is of higher order and the method in [8] cannot capture nonlinearity accurately. To capture the nonlinearity fully, a method using meanvalue theorem is proposed in [6] and a excitation controller is designed where unstructured uncertainty representation is presented.…”

Section: Introductionmentioning

confidence: 99%