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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|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|
Repository Staff Only: item control page