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Journal ArticleDOI

Model predictive control with finite control set for variable-speed wind turbines

TLDR
In this paper, an alternative MPC method by using finite control set, which is used in controlling WTs at the first attempt, is introduced, in view of the fact that control objectives are different within two operation zones partitioned by wind speed.
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This article is published in Energy.The article was published on 2017-05-01. It has received 79 citations till now. The article focuses on the topics: Model predictive control & Wind power.

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Citations
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Journal ArticleDOI

Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method

TL;DR: A multi-objective Particle Swarm Optimization-based method is introduced to optimize control parameters and search for the Pareto Front and a novel yaw control strategy employing the optimized parameters as the query tables is suggested for the real applications.
Journal ArticleDOI

Maximum power extraction for wind turbines through a novel yaw control solution using predicted wind directions

TL;DR: Comparison results show that the two novel yaw controllers are capable of reducing yaw error, and thus increase wind power extraction for the WTs, and it is noticeable that the MPC-based controller has an advantage in the aspect of reduced yaw actuator usage.
Journal ArticleDOI

Nonlinear predictive control of a DFIG-based wind turbine for power capture optimization

TL;DR: In this article, a nonlinear predictive controller is proposed for a variable speed wind turbine with a doubly fed induction generator controller coupled with a model predictive aeroturbine controller.
Journal ArticleDOI

Model Predictive Control Using Multi-Step Prediction Model for Electrical Yaw System of Horizontal-Axis Wind Turbines

TL;DR: The proposed method introduces a finite control set under constraints for the demanded yaw rate, predicts the multistep yaw error using the control set element and the prediction wind directions, and employs an exhaustive search method to search the control output candidate giving the minimal value of the objective function.
References
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Book

Kalman Filtering: Theory and Practice Using MATLAB

TL;DR: Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering and appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
Journal ArticleDOI

Predictive Current Control of a Voltage Source Inverter

TL;DR: The results show that the predictive method controls very effectively the load current and performs very well compared with the classical solutions.
Proceedings ArticleDOI

Guidelines for weighting factors design in Model Predictive Control of power converters and drives

TL;DR: In this article, the authors present a set of guidelines that reduce the uncertainty of the model predictive control with a finite control set, which is a promising control tool for power converters and drives.
Journal ArticleDOI

Wind Turbine Control for Load Reduction

Ervin Bossanyi
- 01 Jul 2003 - 
TL;DR: In this article, the authors present a review of techniques for the control of wind turbines during power production, including pitch control, torque control, and additional sensors such as accelerometers and load sensors.
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