Title: Grid connected wind energy conversion system based on finite-set model predictive control

Authors: Ahmed Rashwan; Tomonobu Senjyu; Mahmoud A. Sayed; Youssef A. Mobarak; G. Shabib

Addresses: Faculty of Energy Engineering, Department of Electrical Engineering, Aswan University, Aswan, 81528, Egypt ' Faculty of Engineering, Department of Electrical Engineering, Ryukyus University, Okinawa, 903-0213, Japan ' Faculty of Engineering, Department of Electrical Engineering, South Valley University, Qena, 83523, Egypt ' 1Dept. of Electrical Engineering, Faculty of Energy Engineering, Aswan University, 81528, Aswan, Egypt. ' Faculty of Energy Engineering, Department of Electrical Engineering, Aswan University, Aswan, 81528, Egypt

Abstract: Predictive control (PC) theory has been successfully used in numerous industrial applications. In this paper, controlling the torque of a squirrel cage induction generator (SCIG) based on maximum power point tracking (MPPT) in a grid-connected wind turbine is presented. Improving the quality of the wind energy conversion system by reducing torque ripples in the SCIG is verified. A decoupled and rapid tracking performance of the reactive power injected to the grid is observed. Online optimisation and the included system nonlinearities and restrictions of the proposed algorithm lead to high degree of reliability using only one PI controller. The proposed technique leads to high robustness of the system against the nature of the wind energy fluctuations. DC link voltage was kept constant during the dynamics of the systems. The overall simulation models have been implemented using MATLAB/SIMULINK software.

Keywords: predictive control; SCIG; squirrel cage induction generator; torque-power control; wind energy.

DOI: 10.1504/IJPELEC.2018.095082

International Journal of Power Electronics, 2018 Vol.9 No.4, pp.366 - 384

Received: 18 Dec 2016
Accepted: 23 May 2017
Published online: 01 Oct 2018 *

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