Dynamic stability improvement of power system with DFIG using multi-input backstepping control

In this paper, the dynamic stability of the power systems is improved through the rotor side convertor voltage control of a number of doubly fed induction generators (DFIGs). The multi-input backstepping method is used to design the control laws. Using the particle swarm optimization algorithm, the...

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Bibliographic Details
Published in:Electrical engineering 2022-12, Vol.104 (6), p.4491-4507
Main Authors: Faramarzi, Zabiholah, Abazari, Saeed, Hoghoughi, Said, Abjadi, Navid Reza
Format: Article
Language:English
Subjects:
Algorithms
Control methods
Control theory
Dynamic stability
Economics and Management
Electrical Engineering
Electrical Machines and Networks
Energy Policy
Engineering
Feedback control
Induction generators
Linear control
Linear matrix inequalities
Mathematical analysis
Optimal control
Original Paper
Particle swarm optimization
Pole placement
Power Electronics
State feedback
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Summary:In this paper, the dynamic stability of the power systems is improved through the rotor side convertor voltage control of a number of doubly fed induction generators (DFIGs). The multi-input backstepping method is used to design the control laws. Using the particle swarm optimization algorithm, the proposed control parameters are optimized to achieve a better performance. This optimal control law leads to a significantly improved performance in comparison with linear control methods such as state feedback control which implement optimized pole placement by linear matrix inequality design. The offered method results in a faster convergence rate and also robustness against changes in the operating points. The performance of the presented control scheme is validated in a standard 9-bus IEEE power system, with a DFIG located in bus number 9.
ISSN:0948-7921
1432-0487
DOI:10.1007/s00202-022-01620-6