A Robust Method of Tuning a Decentralized Proportional-Integral Load Frequency Controller in a Deregulated Environment Using Genetic Algorithms

In this article, load frequency control of an interconnected power system is achieved by two methods. The first is based on the classical h ∞ control method and is subjected to linear matrix inequalities. The second uses a proportional-integral controller that is tuned by genetic algorithm optimizat...

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Bibliographic Details
Published in:Electric power components and systems 2009-03, Vol.37 (3), p.265-286
Main Authors: Huddar, Anupama, Kulkarni, P. S.
Format: Article
Language:English
Subjects:
control
Controllers
decentralized control
deregulated environment
Electric currents
Genetic algorithms
linear matrix inequalities
load frequency control
Matrix
Optimization
robust control
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Summary:In this article, load frequency control of an interconnected power system is achieved by two methods. The first is based on the classical h ∞ control method and is subjected to linear matrix inequalities. The second uses a proportional-integral controller that is tuned by genetic algorithm optimization and is also subjected to the same linear matrix inequalities in order to obtain robustness against disturbances. Both controllers are tested on a two-area power system with three scenarios of load disturbances, as well as on power systems in a deregulated environment to demonstrate their robust performances.
ISSN:1532-5008
1532-5016
DOI:10.1080/15325000802454419