Self-excitation system for control of wind turbine driven induction generator using direct torque control

Premalatha, K.; Vasantharathna, S.; Dhivyaah, T

doi:10.1177/1077546314532669

Cited by 7 publications

(3 citation statements)

References 23 publications

(20 reference statements)

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“…An attempt to avoid the shortcomings of FOC is DTC [32] which replaced the PI controls with hysteresis comparators Due to a number of benefits of DTC, including good torque control in steady-state and transient operating circumstances, the lack of coordinate transforms and current controllers, fast dynamic response, and less computation effort compared with the FOC [33], the DTC-based WECS is better suitable for low power applications [25]. Comparative studies of indirect vector control (IVC) based Grid-connected SEIG-based Wind Energy Conversion Systems and direct torque control (DTC) using Space Vector Pulse Width Modulation (SVPWM) are shown in [27].…”

Section: Seig; Nonlinear Control; Predictive Control; Ripples; Dynami...mentioning

confidence: 99%

Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

Saleh,

Diab,

El-Gaafary

et al. 2023

IJRCS

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The current study aims to present a comprehensive analysis of a control technique used for improving the dynamic performance of a grid connected self-excited induction generator (SEIG). All components in the control system are modelled and explained in details. The management of SEIG operation is achieved through controlling the machine side converter using a new formulated predictive voltage control scheme (PVC). The proposed (PVC) is compared to field oriented control (FOC), model predictive current control (MPCC) and model predictive direct torque control (MPDTC) systems. MPDTC and MPCC have several drawbacks like high ripple, high load commutation, and using a weighting factor in their cost function, While FOC systems depend on machine parameters for variable estimation factors, need to use PI regulators and co-ordinate transformations, which complicate the system and slow down the dynamic response. The results obtained indicate that the proposed PVC is effective, as the ripples are reduced by 43% when compared to the MPDTC-used one and by 30% when compared to MPCC. Additionally, PVC's time response is less than that of the FOC by 15%, MPCC by 9%, and MPDTC by 4%. Furthermore, PVC produces 38% fewer commutations than MPCC and 40% fewer commutations than MPDTC. Consequently, the generator's efficiency and dependability both increased as a result of its better performance.

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Section: Seig; Nonlinear Control; Predictive Control; Ripples; Dynami...mentioning

confidence: 99%

Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

Saleh,

Diab,

El-Gaafary

et al. 2023

IJRCS

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“…The RSC aims to maximize the generator output power by controlling the rotor speed optimally. On the other hand, GSC functions to achieve active and reactive power by controlling the d-axis and q-axis current component, respectively (Premalatha et al., 2014).…”

Section: Proposed Wind Energy Conversion System Modelling and Descmentioning

confidence: 99%

An adaptive Elman neural network with C-PSO learning algorithm based pitch angle controller for DFIG based WECS

Sitharthan¹,

Geethanjali²

2016

Journal of Vibration and Control

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Frequent variation in the wind flow affects the Wind Turbine (WT) to generate fluctuating output power and this can negatively impact the entire power network. This paper aims at modelling an Enhanced-Elman Neural Network (EENN) based pitch angle controller to mitigate the output power fluctuation in a grid connected Wind Energy Conversion System. The outstanding aspect of the proposed controller is that, they can smoothen the output power fluctuation, when the wind speed is above or below rated speed of the WT. The proposed EENN pitch controller is trained online using Gradient Descent (GD) algorithm and the network learning is carried out using Customized-Particle swarm optimization (C-PSO) algorithm. The C-PSO is adopted, in order to increase the learning capability of the training process by adjusting the networks learning rate. Further, the node connecting weights of the EENN is updated by means of GD algorithm using back-propagation methodology. The performance of the proposed controller is analysed using the simulation studies carried out in MATLAB /Simulink environment.

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“…1–3 An available advanced control method is the essential precondition to obtain an improved motor response performance, and direct torque control (DTC) and field-oriented control (FOC) have been suggested as representative high-performance motion control techniques for PMSMs. 4,5 This means that torque and flux are regulated as a direct control object for the DTC method; thus, DTC provides a faster dynamic response with simpler implementation structure compared to FOC. Therefore, many academics and engineers have devoted themselves to study and promote the application of direct torque controlled PMSM techniques during recent decades.…”

Section: Introductionmentioning

confidence: 99%

Examination and implementation for direct torque controlled permanent magnet synchronous motor with space vector modulation

Ning

Song

Yan

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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This study investigates the direct torque control strategy of permanent magnet synchronous motor with the space vector modulation, on account of large torque fluctuation and varied switching frequency of classic direct torque control strategy. The relationship among the terminal control voltages and the torque and stator flux of the permanent magnet synchronous motor is derived through the dynamic model of motor. Accordingly, the torque and the flux closed-loop feedback control structure are established, where the error signals are regulated by the proportional and integral controllers to generate output voltages. Furthermore, the parameters of the controllers are designed through explicitly analyzing the frequency domain models of the torque control loop and the flux control loop. The accurate calculation formula of control parameters, which has both explicit setting target and definite physical meaning, is obtained. Therefore, the design of torque and flux controller parameters becomes easy in the direct torque control with space vector modulation technology, and satisfactory flux and torque control can be acquired. Finally, simulation and experimental tests are demonstrated in support of the validity of the investigated scheme and the feasibility of the proposed controller parameter design.

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Self-excitation system for control of wind turbine driven induction generator using direct torque control

Cited by 7 publications

References 23 publications

Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

An adaptive Elman neural network with C-PSO learning algorithm based pitch angle controller for DFIG based WECS

Examination and implementation for direct torque controlled permanent magnet synchronous motor with space vector modulation

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