An MPPT Strategy for Wind Turbines Combining Feedback Linearization and Model Predictive Control

Ping Jiang, Tianyi Zhang, Jinpeng Geng, Peiguang Wang and Lei Fu
Additional contact information
Ping Jiang: College of Electronic Information Engineering, Hebei University, Baoding 071002, China
Tianyi Zhang: College of Electronic Information Engineering, Hebei University, Baoding 071002, China
Jinpeng Geng: College of Electronic Information Engineering, Hebei University, Baoding 071002, China
Peiguang Wang: College of Electronic Information Engineering, Hebei University, Baoding 071002, China
Lei Fu: College of Electronic Information Engineering, Hebei University, Baoding 071002, China

Energies, 2023, vol. 16, issue 10, 1-16

Abstract: This paper proposes a model predictive controller (MPC) design based on the optimal tip-speed ratio method for maximum power point tracking (MPPT) of a direct-driven permanent magnet synchronous generator (D-PMSG)-based wind energy conversion system (WECS). To eliminate system nonlinearity and time-varying characteristics, a control variable was added at the wind turbine and the system model was feedback-linearized to create a linear time-invariant system, reducing the computational burden of the MPC and improving system performance. MATLAB/Simulink simulations were performed and the results show that the linearized system has high fidelity. Compared to traditional MPC that use an operating point to linearize the system, it has better adaptability to turbulent wind speeds, improving the stability and rapidity of the system.

Keywords: direct-drive permanent magnet synchronous generator (D-PMSG)-based wind turbines; MPPT; MPC; feedback linearization; turbulent wind speeds (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/10/4244/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/10/4244/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:10:p:4244-:d:1152653

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().