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Load Frequency Controller Design In a Deregulated Environment Using Flexible Neural Networks

Publish Year: 1378
Type: Conference paper
Language: English
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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.

Load Frequency Controller Design In a Deregulated Environment Using Flexible Neural Networks Keywords:

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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