Dynamic Modeling and Control of BDFRG under Unbalanced Grid Conditions

Taufik Taluo, Leposava Ristić and Milutin Jovanović
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Taufik Taluo: School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia
Leposava Ristić: School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia
Milutin Jovanović: Department: Mathematics, Physics and Electrical Engineering, Newcastle City Campus, Northumbria University at Newcastle, Newcastle-upon-Tyne NE1 8ST, UK

Energies, 2021, vol. 14, issue 14, 1-22

Abstract: The Brushless Doubly-Fed Reluctance Generator (BDFRG) is a potential alternative to the Doubly Fed Induction Generator (DFIG) in wind power applications owing to its reasonable cost, competitive performance, and high reliability. In comparison with the Brushless Doubly-Fed Induction Generator (BDFIG), the BDFRG is more efficient and easier to control owing to the cage-less rotor. One of the most preferable advantages of BDFRG over DFIG is the inherently better performance under unbalanced grid conditions. The study conducted in this paper showed that conventional vector control of the BDFRG results in excessive oscillations of the primary active/reactive power, electromagnetic torque, and primary/secondary currents in this case. In order to address such limitations, this paper presented a new control strategy for the unbalanced operation of BDFRG-based wind generation systems. A modified vector control scheme was proposed with the capability to control the positive and the negative sequences of the secondary currents independently, thus greatly reducing the adverse implications of the unbalanced supply. The controller performance has been validated by simulations using a 1.5 MW BDFRG dynamical model built upon the positive and negative sequence equations. The main benefits of the new control strategy are quantified in comparison with conventional PI current control design.

Keywords: Brushless Doubly-Fed Reluctance Generator; vector control; unbalanced grid voltage; dynamic model (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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