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

Author:

Aguilar Milton E. B.1ORCID,Coury Denis V.2ORCID,Reginatto Romeu3ORCID,Monaro Renato M.4ORCID,de Godoy Paulo Thiago1ORCID,Jahn Tales G.1ORCID

Affiliation:

1. Itaipu Technological Park Foundation, Foz do Iguaçu 85867-900, Brazil

2. Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos 05508-220, Brazil

3. Center for Engineering and Applied Sciences, Western Paraná State University, Foz do Iguaçu 85819-110, Brazil

4. Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil

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.

Funder

São Carlos School of Engineering—University of São Paulo

Western Paraná State University

Itaipu Technological Park Foundation

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference26 articles.

1. Anaya-Lara, O., Jenkins, N., Ekanayake, J., Cartwright, P., and Hughes, M. (2009). Wind Energy Generation: Modelling and Control, John Wiley and Sons, Ltd.

2. A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance;Kamel;IEEE Access,2020

3. Internal electrical protection of wind turbine with doubly fed induction generator;Mansouri;Renew. Sustain. Energy Rev.,2016

4. Application of Superconductors to Improve the Performance of DFIG-Based WECS;Mosaad;IEEE Access,2019

5. A Coordinated Control Approach for DC link and Rotor Crowbars to Improve Fault Ride-Through of DFIG-Based Wind Turbine;Haidar;IEEE Trans. Ind. Appl.,2017

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