Application of an Adaptive Artificial Bee Colony Algorithm for Automatic Generation Control in Interconnected Power Systems with Nonlinear Characteristics

Application of an Adaptive Artificial Bee Colony Algorithm for Automatic Generation Control in Interconnected Power Systems with Nonlinear Characteristics
  IJETT-book-cover           
  
© 2024 by IJETT Journal
Volume-72 Issue-6
Year of Publication : 2024
Author : Ekkawit Thaokeaw, Gontapon Promnigon, Nonthanan Phonphan, Kittipong Ardhan, Worawat SaNgiamvibool
DOI : 10.14445/22315381/IJETT-V72I6P116

How to Cite?

Ekkawit Thaokeaw, Gontapon Promnigon, Nonthanan Phonphan, Kittipong Ardhan, Worawat SaNgiamvibool, "Application of an Adaptive Artificial Bee Colony Algorithm for Automatic Generation Control in Interconnected Power Systems with Nonlinear Characteristics," International Journal of Engineering Trends and Technology, vol. 72, no. 6, pp. 153-158, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I6P116

Abstract
This article presents the 2-degree freedom of proportional-integral-derivative (2-DOF PID.) controller for interconnected thermal power generators and optimization through the Adaptive Artificial Bee Colony Algorithm (AABCA). Power systems are typically nonlinear, requiring the optimization of Automatic Gain Controllers (AGCs), especially the 2-DOF PID controller with numerous parameters. The AABCA enhances parameterization and evaluates the performance through dynamic electric load size changes. The test results indicate that utilizing the bee algorithm to optimize the generator system parameters leads to increased robustness to changes and improved overall performance. The ISE value and the ITSE value are improved by 11.79% and 43.79% respectively.

Keywords
2-DOF, PID, The adaptive artificial bee colony algorithm, Automatic generation control, Non-Linearity.

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