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     Research Journal of Applied Sciences, Engineering and Technology


Robust AGC based on Fuzzy Logic Controller: Design, Comparison and Ratification

A. D. Falehi and M. Atabakhsh
Department of Electrical Engineering, Izeh Branch, Islamic Azad University, Izeh, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  10:1813-1817
http://dx.doi.org/10.19026/rjaset.6.3908  |  © The Author(s) 2013
Received: November 13, 2012  |  Accepted: January 11, 2013  |  Published: July 20, 2013

Abstract

Increasing the oscillations in the affected eclectic power system caused by the growth of loading conditions and occurrence of various distributions leads to losing the synchronism in the first-swing. A maiden effort is led to attain a novel Fuzzy Logic Automatic Generation Controller (FLAGC) to provide appropriate damping low frequency power oscillations. In order to guarantee the effectiveness and robustness of the proposed FLAGC controller, it has been thoroughly compared with Proportional Integral Derivative (PID) controller considering 2% step load perturbation in thermal area of the studied power system. The Real Coded Genetic Algorithm (RCGA) optimization technique due to have high sufficiency to solve the very non-linear objective is implemented for solution of the optimization problem. The obtained results of non-linear time-domain simulation reveal the high dynamical performance of proposed FLAGC controller.

Keywords:

FLAGC controller, low frequency oscillations, PID controller, RCGA-technique,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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