Zamanifar, M., Fani, B., Golshan, M. and Karshenas, H. (2014) Dynamic Modeling and Optimal Control of {DFIG} Wind Energy Systems Using {DFT} and NSGA-II. Electric Power Systems Research, 108, 50-58. https://doi.org/10.1016/j.epsr.2013.10.021

has been cited by the following article:

• TITLE: Optimal Control of Wind Turbines under Islanded Operation

  AUTHORS: Magdi S. Mahmoud, Mojeed O. Oyedeji

  KEYWORDS: Wind Turbine, Linear Quadratic Regulator, Linear Quadratic Regulator with Integral Action, Model Predictive Control, Output Torque, Power Regulation

  JOURNAL NAME: Intelligent Control and Automation, Vol.8 No.1, December 9, 2016

  ABSTRACT: In this paper, an optimal control scheme for wind turbine output torque and power regulation under the influence of wind disturbances is presented. The system considered is a dynamic mechanical-based model with pitch and generator torque actuators for controlling the pitch and generator torque. The performance of linear matrix inequality (LMI) formalism of linear quadratic regulator (LQR); linear quadratic regulator with integral action (LQRI) and model predictive control (MPC) were compared in response to a step change in wind disturbance. It is shown by Matlab simulation that the LQRI outperformed both LQR and MPC controllers.