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A Learning Linguistic Teaching Control for a Multi-Area Electric Power System
Ahmad N. Al-Husban
Pages - 278 - 285     |    Revised - 15-09-2012     |    Published - 24-10-2012
Volume - 6   Issue - 5    |    Publication Date - October 2012  Table of Contents
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KEYWORDS
Fuzzy Logic Control, Artificial Neural Network, Interconnected PowerSystem, Load Frequency Control.
ABSTRACT
This paper presents a new methodology for designing a neuro-fuzzy control for complex physical systems. By developing a Neural -Fuzzy system learning with linguistic teaching signals. The advantage of this technique is that, produce a simple and well-performing system because it selects the fuzzy sets and the numerical numbers and process both numerical and linguistic information. This approach is able to process and learn numerical information as well as linguistic information. The proposed control scheme is applied to a multi-area power system with hydraulic and thermal turbines.
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1 Al-Husban, A. N. (2013). A Numerical Pairs Implementation using Fuzzy Basis Function. European Journal of Scientific Research, 94(2), 172-176.
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Associate Professor Ahmad N. Al-Husban
- Jordan
drahusban2008@yahoo.com