Load Frequency Controller Design In a Deregulated Environment Using Flexible Neural Networks
Publish place: 15th International Power System Conference
Publish Year: 1378
Type: Conference paper
Language: English
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Document National Code:
PSC15_079
Index date: 23 September 2007
Load Frequency Controller Design In a Deregulated Environment Using Flexible Neural Networks abstract
This paper will demonstrate flexible neural networks application, as a possible solution, to automatic load frequency control problem in a deregulated electric power system environment. We consider a typical power system in a competitive, distributed control environment with open access organizational structure. With this new structure, the conventional controllers are incapable of obtaining good dynamical performance, then, it comes the need for novel control strategies to maintain the reliability and eliminates the frequency error. In order to achievement of all proposed design objectives, we have used flexible neural networks with dynamic neurons that have wide ranges of variation. A sample power system is used to illustrate the design method.
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Load Frequency Controller Design In a Deregulated Environment Using Flexible Neural Networks authors
Hassan Bevrani
West Regional Electric Co. Research & standard office Kermanshah, Iran
Mohammad Teshnehlab
K. N. Toosi University of Technology Department of Electrical Engineering Tehran, Iran
Hossein Bevrani
Tabriz University Department of Mathematics Tabriz, Iran
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