Generalized Predictive Control Scheme for a Wind Turbine System

Fahimeh Shiravani, Jose Antonio Cortajarena, Patxi Alkorta and Oscar Barambones
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Fahimeh Shiravani: Engineering School of Gipuzkoa, University of the Basque Country, Otaola Hirib. 29, 20600 Eibar, Spain
Jose Antonio Cortajarena: Engineering School of Gipuzkoa, University of the Basque Country, Otaola Hirib. 29, 20600 Eibar, Spain
Patxi Alkorta: Engineering School of Gipuzkoa, University of the Basque Country, Otaola Hirib. 29, 20600 Eibar, Spain
Oscar Barambones: Engineering School of Vitoria, University of the Basque Country, Nieves Cano 12, 01006 Vitoria, Spain

Sustainability, 2022, vol. 14, issue 14, 1-15

Abstract: In this paper, a generalized predictive control scheme for wind energy conversion systems that consists of a wind turbine and a doubly-fed induction generator is proposed. The design is created by using the maximum power point tracking theory to maximize the extracted wind power, even when the turbine is uncertain or the wind speed varies abruptly. The suggested controller guarantees compliance with current constraints by applying them in the regulator’s conceptual design process to assure that the rotor windings are not damaged due to the over-current. This GPC speed control solves the optimization problem based on the truncated Newton minimization method. Finally, simulation results, which are obtained through the Matlab/Simulink software, show the effectiveness of the proposed speed regulator compared to the widely used Proportional-integral controller for DFIG.

Keywords: wind energy; wind turbine; DFIG (doubly-fed induction generator); MPPT (maximum power point tracking); GPC (generalized predictive control) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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