Copyright © 2026 Authors retain the copyright of this article. This article 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.
@article{195426,
author = {Vara Prasad K.S.B and Santhosh Talada and Mohan Krishna. P and Akshith Kothuru and Karthik Nakka and Geetha Kotyada and Subhakar Seeram and Ravi Teja Lagudu},
title = {OPTIMIZED AUTOMATIC GENERATION CONTROL OF A TWO-AREA INTERCONNECTED POWER SYSTEM USING ARTIFICIAL BEE COLONY ALGORITHM},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {251-263},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=195426},
abstract = {The frequency of the systems has to be maintained within reasonable ranges to ensure the consistent and proper functioning of the interconnected power systems. The difference in the load demand tends to affect the equilibrium between the power production and consumption causing frequency variation and tie-line power flow variability among connected regions. Automatic Generation Control (AGC) also called Load Frequency Control (LFC) is commonly applied to control the system frequency and keep the planned power swap between control regions. The present paper presents an optimization method using Artificial Bee Colony (ABC) algorithm to tune the parameters of a Proportional-Integral (PI) controller to a two-area interconnected thermal power system. The aim of the suggested approach is to enhance dynamic behavior of the system by reducing frequency variations and tie-line power swings in case of load variations. The controller parameters are optimized with the help of performance index that is dependent on the Integral of Time multiplied Absolute Error (ITAE). The efficiency of the suggested ABC-based controller is tested using simulation works in various load disturbance situations. The findings show that the optimized controller has better damping properties, less oscillations and less time of settling in relation to traditional PI controller tuning strategies. The suggested method provides a straightforward and efficient method of improving the stability and dynamic behaviour of interconnected power systems.},
keywords = {Artificial Bee Colony Optimization (ABC), Automatic Generation Control (AGC), Load Frequency Control (LFC), Two area Interconnected Power System, PI Controller, Power System Stability.},
month = {April},
}
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