A robust LMI-based pitch controller for large wind turbines

Hassan, H. M.; El-Shafei, A.; Farag, Wael; Saad, M. S.

doi:10.1016/j.renene.2011.12.016

Cited by 71 publications

(36 citation statements)

References 11 publications

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“…The lack of accurate models must be countered by robust control strategies capable of securing stability and certain performance features despite model uncertainties. The control problems are even more challenging when turbines are able to operate at variable speeds and pitch, see [4][5][6]. The best use of this type of turbine can only be achieved with several controllers, see [7,8].…”

Section: Introductionmentioning

confidence: 99%

Power Control Design for Variable-Speed Wind Turbines

et al. 2012

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This paper considers power generation control in variable-speed variable-pitch horizontal-axis wind turbines operating at high wind speeds. A dynamic chattering torque control and a proportional integral (PI) pitch control strategy are proposed and validated using the National Renewable Energy Laboratory wind turbine simulator FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code. Validation results show that the proposed controllers are effective for power regulation and demonstrate high-performances for all other state variables (turbine and generator rotational speeds; and smooth and adequate evolution of the control variables) for turbulent wind conditions. To highlight the improvements of the provided method, the proposed controllers are compared to relevant previously published studies.

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Section: Introductionmentioning

confidence: 99%

Power Control Design for Variable-Speed Wind Turbines

et al. 2012

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“…where E * is the RMS value of the grid voltage (phase-neutral), in this case 127 V, DV C is the voltage deviation necessary to compensate the reactive power into the grid; thus, equation (27) was modified to improve the output voltage calculus (31). It was considered that the system operates only grid-connected.…”

Section: Power Control Loopmentioning

confidence: 99%

Grid-tie three-phase inverter with active power injection and reactive power compensation

et al. 2016

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a b s t r a c tThis paper proposes a methodology for the active and reactive power flow control, applied to a grid-tie three-phase power inverter, considering local and/or regionalized power flow control necessity in the forthcoming distributed generation scenario. The controllers are designed by means of robust pole placement technique, which is determined using the Linear Matrix Inequalities with D-stability criteria. The linearized models used in the control design are obtained by means of feedback linearization, aiming to reduce system nonlinearities, improve the controller's performance and mitigate potential disturbances. Through multi-loop control, the power loop uses active and reactive power transfer adapted expressions to obtain the magnitude of the voltage and power transfer angle to control the power flow between the distributed generation and the utility grid. The methodology main idea is to obtain the best controllers with the lowest gains as possible placing the poles in the left-half s-plane region, resulting in fast responses with reduced oscillations. In order to demonstrate the feasibility of the proposal a 3 kVA three-phase prototype was implemented and a comparison with conventional controller is performed to demonstrate the proposed methodology performance. In addition, anti-islanding detection and protection against over/under voltage and frequency deviations are demonstrated through experimental results.

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“…GSA based method to obtain the optimal dataset for training the RBF neural network. where eðtÞ is obtained from (32) and T is dependent on the total simulation time and selected by designer. The optimization process of the PI gains using GSA is shown in Fig.…”

Section: Gsa Approach To Determining the Optimal Datasetmentioning

confidence: 99%

“…FAST provides many degrees of freedom (DOF) for the wind turbine and, thus, the number of states in the state space of wind turbine is dependent on the number of DOF selected in FAST [32]. In this study, 6 DOF are considered using FAST and, thus, x wt is described through the following vector: …”

Section: Stability Analysis Using Fastmentioning

confidence: 99%