Generalized Predictive Control applied to the DFIG power control using state-space model and voltage constraints

Author(s)

Rodrigues, Lucas Lima ^{[1, 2, 3]} ; Vilcanqui, Omar A. C. ^[3] ; Conde, Eliomar R. ^[1] ; Guerero, Josep M. ^[4] ; Sguarezi Filho, Alfeu J. ^[1]

Affiliation

^[1] Fed Univ ABC, Santo Andre, SP - Brazil

^[2] Univ Sao Paulo, Polytech Sch, Sao Paulo - Brazil

^[3] Fed Univ AC, Rio Branco - Brazil

^[4] Aalborg Univ, Aalborg - Denmark

• Document type: Journal article
• Source: Electric Power Systems Research; v. 182, MAY 2020.
• Web of Science Citations: 0

Abstract

This paper proposes a Generalized Predictive Control (GPC) for a Doubly Fed Induction Generation (DFIG) applied to wind energy systems. The present controller uses state-space formulation as the prediction model. Additionally, the vector control strategy was used to control stator active and reactive power, and voltage constraints are added due to the computed voltage can exceed the rated value. Furthermore was proposed a methodology to choose GPC parameters based on its analogue closed-loop transfer function. Finally, the predictive controller with constraints is ported to a Digital Signal Processor (DSP) in a test bench, and experimental results are obtained to endorse the proposed theory. (AU)

• FAPESP's process: 17/04623-3 - Predictive control applied to the input converter for photovoltaic systems
• Grantee: Alfeu Joãozinho Sguarezi Filho
• Support Opportunities: Regular Research Grants
• FAPESP's process: 16/08645-9 - Interdisciplinary research activities in electric smart grids
• Grantee: João Bosco Ribeiro do Val
• Support Opportunities: Research Projects - Thematic Grants