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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| Veröffentlicht in: | Electrical engineering 2022-12, Vol.104 (6), p.4491-4507 |
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| creator | Faramarzi, Zabiholah Abazari, Saeed Hoghoughi, Said Abjadi, Navid Reza |
| description | 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. |
| doi_str_mv | 10.1007/s00202-022-01620-6 |
| format | Article |
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| 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 |
| title | Dynamic stability improvement of power system with DFIG using multi-input backstepping control |
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