Load frequency controller design in a deregulated environment using flexible neural networks
Bevrani, Hassan, Teshnehlab, Mohammad, & Bevrani, Hossein (2000) Load frequency controller design in a deregulated environment using flexible neural networks. In 15th International Power System Conference PSC, Tehran, Iran.
This paper demonstrates the application of artificial neural network with a flexible structure, as a powerful design tool, in automatic load-frequency control design in a restructured power system. A typical power system in a competitive distributed control environment with an open access organizational structure is considered. A new neural network based control strategy is used to maintain the system reliability and eliminates the frequency error. It is shown that in a deregulated environment, the conventional control methodologies are incapable of obtaining good dynamical performance. In order to achievement of all specified control objectives, dynamic neurons with a wide range of variation, and an adequate rate of flexibility are used within the structure of proposed neural network. Some nonlinear simulations are used to illustrate the design methodology.
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|Item Type:||Conference Paper|
|Additional Information:||For more information, please contact the author.|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2000 PSC Iran|
|Deposited On:||16 Oct 2008|
|Last Modified:||31 Mar 2015 07:42|
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