Decentralized adaptive backstepping control of electric power systems

In this paper, a decentralized adaptive backstepping excitation controller, tuned using a Particle Swarm Optimization technique (PSO), is designed for stability enhancement of multi-machine power systems. To achieve decentralization, each machine is modeled as an independent uncertain dynamic subsys...

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Bibliographic Details
Published in:Electric power systems research 2008-03, Vol.78 (3), p.484-493
Main Authors: Karimi, Ali, Feliachi, Ali
Format: Article
Language:English
Subjects:
Adaptive backstepping
Applied sciences
Disturbances. Regulation. Protection
Electrical engineering. Electrical power engineering
Electrical machines
Electrical power engineering
Exact sciences and technology
Miscellaneous
Particle Swarm Optimization
Power networks and lines
Power systems
Regulation and control
Transient stability
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Summary:In this paper, a decentralized adaptive backstepping excitation controller, tuned using a Particle Swarm Optimization technique (PSO), is designed for stability enhancement of multi-machine power systems. To achieve decentralization, each machine is modeled as an independent uncertain dynamic subsystem, where the uncertainty is a disturbance that represents the effects of the rest of the system on that particular machine. This disturbance is expressed as a polynomial function of electric power deviation, and its parameters are adapted using PSO. The proposed technique is illustrated with a two-area benchmark power system. This system exhibits inter-area oscillations which are effectively damped with the proposed decentralized controllers under severe contingencies, for which traditional power system stabilizers fail.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2007.04.003