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Designing optimal controllers for doubly fed induction generators using a genetic algorithm

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4 Author(s)
J. P. A. Vieira ; Instituto de Tecnologia, Faculdade de Engenharia Ele¿ trica, Universidade Federal do Para¿ , Av. Augusto Corre¿a no 01, CEP 66075-900 Bele¿m-PA, Brazil E-mail: jpavieira@ufpa.br ; M. V. A. Nunes ; U. H. Bezerra ; A. C. Do Nascimento

This work presents a design procedure based on evolutionary computation, more specifically on a genetic algorithm combined with the formal pole placement project, to obtain optimal controllers to the rotor-side converter of doubly fed induction generators (DFIGs), in variable-speed wind generation systems connected to the electrical grid. With this procedure it is intended to improve the global system dynamic behaviour during and after the fault period, also increasing the transient stability margin of the power system and the fault ride-through capability. The control action of the DFIG converters is accomplished by proportional and integral controllers, whose gainspsila adjustment is not a trivial task, because of the high complexity of the system. The results obtained confirm the efficiency of the proposed control design procedure.

Published in:

IET Generation, Transmission & Distribution  (Volume:3 ,  Issue: 5 )