Multi-Objective PSO for Control-Loop Tuning of DFIG Wind Turbines with Chopper Protection and Reactive-Current Injection

Milton E. B. Aguilar (), Denis V. Coury (), Romeu Reginatto, Renato M. Monaro, Paulo Thiago de Godoy and Tales G. Jahn
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Milton E. B. Aguilar: Itaipu Technological Park Foundation, Foz do Iguaçu 85867-900, Brazil
Denis V. Coury: Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos 05508-220, Brazil
Romeu Reginatto: Center for Engineering and Applied Sciences, Western Paraná State University, Foz do Iguaçu 85819-110, Brazil
Renato M. Monaro: Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil
Paulo Thiago de Godoy: Itaipu Technological Park Foundation, Foz do Iguaçu 85867-900, Brazil
Tales G. Jahn: Itaipu Technological Park Foundation, Foz do Iguaçu 85867-900, Brazil

Energies, 2023, vol. 17, issue 1, 1-25

Abstract: The control systems for the variable-speed wind turbine based on the Doubly Fed Induction Generator (DFIG) pose some tuning challenges. The performance and stability of DFIG wind turbines during faults in power grids are directly related to their controller settings. This work investigates how incorporating protection via a braking-Chopper controller connected to the DC link (DC Chopper) and a reactive-current injection during the PI-tuning process affects the performance of DFIG wind turbines during electrical faults. For the tuning process, the Multi-Objective-Particle-Swarm-Optimization (MOPSO) algorithm was used. Thus, two different approaches adopting this methodology were investigated, considering sequential and simultaneous tuning. The results showed that sequential tuning presented a better performance in relation to the reactive-current injection and lower amplitude deviations of the electrical quantities during and after the fault. On the other hand, simultaneous tuning reached damping of the mechanical oscillations faster and presented better performance of the protection system.

Keywords: wind-power generation; PSO algorithm; protection; DC Chopper; electrical fault (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
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