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     Research Journal of Applied Sciences, Engineering and Technology


AGC in an Interconnected Power System of Thermal Generating Unit through Evolutionary Technique

1Ashish Dhamanda and 2A.K. Bhardwaj
1Department of Electrical Engineering, FET, GKV, Haridwar, U.K, India
2Department of Electrical Engineering, SSET, SHIATS, Allahabad, U.P, India
Research Journal of Applied Sciences, Engineering and Technology  2016  2:113-121
http://dx.doi.org/10.19026/rjaset.13.2922  |  © The Author(s) 2016
Received: April ‎15, ‎2015  |  Accepted: May ‎22, ‎2015  |  Published: July 15, 2016

Abstract

This study presents to obtain the dynamic response of load frequency and corresponding tie-line power of an Automatic Generation Control (AGC) in four area interconnected thermal power system by using three different technique (Controller); One is Conventional (PI) technique, second is Intelligent(Fuzzy) technique and third is Evolutionary (GA for tuning of PID Controller) Technique. In this study Evolutionary technique are proposed for improving the performance of load frequency and tie-line power and their dynamic responses are compared with the conventional and intelligent controller’s responses. The results indicate that the proposed controller exhibit better performance and satisfy the automatic generation control requirements with a reasonable dynamic response. The performances of the controllers are simulated using MATLAB/SIMULINK software.

Keywords:

Genetic Algorithm (GA), Proportional Plus Integral (PI), Proportional Plus Integral Plus Derivative (PID),


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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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