doi: 10.7763/IJCTE.2010.V2.146
Application of GA and PSO Tuned Fuzzy Controller for AGC of Three Area Thermal- Thermal-Hydro Power System
S. K. Sinha1,3
,
R. N. Patel2,3,* ,
R. Prasad3
- 1Department of Electrical Engineering, College of Engineering Roorkee, Roorkee, India.
- 2dept. of Electrical Engineering, SSCET, Bhilai (C.G.), India.
- 3IIT Roorkee, Roorkee, India.
Abstract
In this work applications of Genetic Algorithm and Particle Swarm Optimization techniques have been used to improve the performance of the Automatic Generation Control (AGC) in a three area power system. Genetic Algorithm and Particle Swarm Optimization have been used for optimizing the parameters of a Fuzzy logic controller (acting as the secondary controller in the AGC system).The controllers give improved dynamic performances for three area thermal-thermal-hydro power system under a variety of operating conditions.
Keywords
- Automatic generation control
- Frequency deviation
- Fuzzy logic
- Genetic algorithm
- Particle swarm optimization
- Tie line power deviation
How to Cite
S. K. Sinha, R. N. Patel, and R. Prasad, "Application of GA and PSO Tuned Fuzzy Controller for AGC of Three Area Thermal- Thermal-Hydro Power System," International Journal of Computer Theory and Engineering, vol. 2, no. 2, pp. 238-244, 2010. https://doi.org/10.7763/IJCTE.2010.V2.146
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).