Sensorless control for DFIG wind turbines based on support vector regression

Abo‐Khalil, Ahmed G.; Abo-Zied, Hammad

doi:10.1109/iecon.2012.6389341

Cited by 22 publications

(19 citation statements)

References 21 publications

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“…To generate a continuous variable torque, the torque current i qs is continuously controlled as defined in Equation (23). In experiment, the turbine reference torque and wind speed pattern are implemented by Equations (15b) and (16), respectively. The torque current reference i * qs is then calculated from the torque equation by dividing it by the torque constant K t , as shown in Figure 10a.…”

Section: Induction Motor Controlmentioning

confidence: 99%

“…However, the method is time-consuming and therefore impractical. Second, artificial intelligence and machine-learning methods, such as adaptive neuro-fuzzy inference systems [13,14], multilayer perceptron neural networks [15], and support vector regressions (SVR) [16,17], have been widely implemented to estimate effective wind speed. These methods help map the relation between electrical measured quantities, such as turbine power and rotational speed, and wind speed using numerous samples, and then use this online map to estimate the wind speed and the optimum wind speed, which produce the maximum turbine power point.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Modeling of Wind Turbines Based on Estimated Wind Speed under Turbulent Conditions

et al. 2019

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Large-scale wind turbines with a large blade radius rotates under fluctuating conditions depending on the blade position. The wind speed is maximum in the highest point when the blade in the upward position and minimum in the lowest point when the blade in the downward position. The spatial distribution of wind speed, which is known as the wind shear, leads to periodic fluctuations in the turbine rotor, which causes fluctuations in the generator output voltage and power. In addition, the turbine torque is affected by other factors such as tower shadow and turbine inertia. The space between the blade and tower, the tower diameter, and the blade diameter are very critical design factors that should be considered to reduce the output power fluctuations of a wind turbine generator. To model realistic characteristics while considering the critical factors of a wind turbine system, a wind turbine model is implemented using a squirrel-cage induction motor. Since the wind speed is the most important factor in modeling the aerodynamics of wind turbine, an accurate measurement or estimation is essential to have a valid model. This paper estimates the average wind speed, instead of measuring, from the generator power and rotating speed and models the turbine’s aerodynamics, including tower shadow and wind shear components, without having to measure the wind speed at any height. The proposed algorithm overcomes the errors of measuring wind speed in single or multiple locations by estimating the wind speed with estimation error less than 2%.

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Section: Induction Motor Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling of Wind Turbines Based on Estimated Wind Speed under Turbulent Conditions

et al. 2019

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“…is the kernel function that enables a dot product in high-dimensional feature space using low-dimensional space data input without calculating the function. The radial base function that is used in the framework is expressed as [27,28]…”

Section: Pso-svr For Capacitor Condition Monitoringmentioning

confidence: 99%

Real-Time Reliability Monitoring of DC-Link Capacitors in Back-to-Back Converters

et al. 2019

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Electrolytic capacitors have large capacity, low price, and fast charge/discharge characteristics. Therefore, they are widely used in various power conversion devices. These electrolytic capacitors are mainly used for temporary storage and voltage stabilization of DC energy and have recently been used in the renewable energy field for linking AC/DC voltage and buffering charge/discharge energy. However, electrolytic capacitors continue to be disadvantageous in their reliability due to their structural weaknesses due to the use of electrolytes and very thin oxide and dielectric materials. Most capacitors are considered a failure when the capacitance has changed by 25% of its initial value. Accurate and fast monitoring or estimation techniques are essential to be used with low cost and no extra hardware. In order to achieve these objectives, an online, reliable, and high-quality technique that continuously monitors the DC-link capacitor condition in a three-phase back-to-back converter is proposed. In this paper, the particle swarm optimization (PSO)-based support vector regression (PSO-SVR) approach is employed for online capacitance estimation based on sensing or deriving the capacitor current. Because the SVR performance alone severely depends on the tuning of its parameters, the PSO algorithm is used, which enables a fast online-based approach with high-parameter estimation accuracy. Experimental results are provided to verify the validity of the method.Energies 2019, 12, 2369 2 of 11 increases and rushes evaporation of the capacitor's electrolyte. Therefore, the volume of the electrolyte is reduced so that the etched tunnels are not fully filled due to the electrolyte evaporation. Hence, the capacitance decreases as a result of the electrolyte volume reduction. The evaporation process will be higher whenever the ambient temperature increases; then, the capacitance value decreases and the lifetime deteriorated more.can be made thick, and as a result, the capacity per unit volume of the capacitor can be increased. Also shown also in Figure 2 is an oxide layer is formed on the cathode surface through a natural chemical reaction between the electrolyte and aluminum. Compared to the thickness of the anode surface oxidation layer formed by the manufacturing process, the capacitance on the cathode side is larger than that on the anode side. Therefore, since the anode and cathode capacitors can be regarded as connected in series, the total capacitance becomes similar to the capacitance value of the anode. Equivalent series resistance (Rs) represents the sum of all the resistances of the electrolyte, oxide layer, electrode, lead, and connection. The equivalent inductance (Ls) is the inductance formed by winding the coil in a cylindrical shape, which can usually be ignored in the frequency range of the power converter. Thus, the equivalent circuit can be simplified in the form of a series connection of the resistor and the capacitor.

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“…Finally the calculation of effective wind speed is done by an inversion of a static aerodynamic model. Neural network (NN) based estimation effective wind speed is done by support vector regression [6]. In that the input to the NN is wind turbine power and rotor speed and the output is estimated wind speed.…”

Section: Introductionmentioning

confidence: 99%

“…The maximum power extraction from the wind is achieved by the adaptive feedback linearization based control are discussed in [4]. Several literatures are reported to estimate the effective wind speed [5][6][7]. In [5] the rotor speed and aerodynamic torque are estimated by state and input based observer.…”

Section: Introductionmentioning

confidence: 99%

ISMC based variable speed wind turbine for maximum power capture

Saravanakumar

Jena

2014

Proceedings of the 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC)

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This paper presents the nonlinear control for variable speed wind turbine (WT) where the dynamics of WT is derived from single mass model. The main objective is to maximize the energy capture from the wind and reduce the drive train oscillations. In order to control the WT the generator torque is considered as the control input. This torque depends on the optimal rotor speed derived from the effective wind speed. The effective wind speed is estimated from aerodynamic torque and rotor speed by using modified Newton Rapshon (MNR). The conventional techniques such as aero dynamic torque feed forward (ATF) & Indirect speed control (ISC) which does not depend on the effective wind speed, are unable to track the dynamic aspect of the WT. The other disadvantages of the above conventional methods are more power loss and not robust with respect to disturbances and uncertainties. To overcome these weaknesses nonlinear controllers are found to be more suitable than the conventional controller. In this paper a sliding mode control with integral action i.e. integral sliding mode controller (ISMC) is applied to the WT and a modified Newton Rapshon is used to estimate the effective wind speed. The result shows the significance improvement in proposed controllers compared with existing controllers.

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Sensorless control for DFIG wind turbines based on support vector regression

Cited by 22 publications

References 21 publications

Dynamic Modeling of Wind Turbines Based on Estimated Wind Speed under Turbulent Conditions

Dynamic Modeling of Wind Turbines Based on Estimated Wind Speed under Turbulent Conditions

Real-Time Reliability Monitoring of DC-Link Capacitors in Back-to-Back Converters

ISMC based variable speed wind turbine for maximum power capture

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