Automatic Generation Control in Deregulated Power System Using Genetic Algorithm Optimized Fuzzy Controller

Authors

S. Ajitha Priyadarsini, Department of Electricaland Electronics Engineering, Narayanaguru College of Engineering, Manjalumoodu, K.K.(Dist),TamilNadu, IndiaFollow
P. Melba Mary, Dept of EEE, RECT Polytechnic College, South Vijayanarayanam, Tirunelveli, Tamil Nadu, India 627 118Follow
Willjuice Iruthayarajan, Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti, TamilNadu, IndiaFollow

Author Country (or Countries)

India

Abstract

This work addresses the control of load frequency where the chosen arena is the two area thermal-thermal power systems dealt under deregulated field. Tuning of the fuzzy logic controller is based on genetic algorithm. Graded AC tie-lines are used to relate the regions. Optimization of the scaling gains of the controller is the prime thing in bringing ideal tuning. The controller adopted in this paper has gone through several operating conditions under the field of deregulated two area system. The influence of bilateral accordance between the distribution and generation companies is the part of this work that is simulated via Simulink/MATLAB. Thus, in comparison with performance, the genetic algorithm tuned fuzzy logic controller is better than the existing integral controller or the non-tuned fuzzy logic controller

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/110217

Recommended Citation

Ajitha Priyadarsini, S.; Melba Mary, P.; and Iruthayarajan, Willjuice (2017) "Automatic Generation Control in Deregulated Power System Using Genetic Algorithm Optimized Fuzzy Controller," Applied Mathematics & Information Sciences: Vol. 11: Iss. 2, Article 17.
DOI: http://dx.doi.org/10.18576/amis/110217
Available at: https://digitalcommons.aaru.edu.jo/amis/vol11/iss2/17