Optimum Design of Power System Stabilizer based on Improved Ant Colony Optimization Algorithm

  • Ruba AL-MulaHumadi College of Engineering-University of Baghdad
  • Nizar Hadi Abbas College of Engineering-University of Baghdad
  • Mohanad Azeez Joodi College of Engineering-University of Baghdad
Keywords: SMIB, PSS, ACO.

Abstract

This paper presents an improved technique on Ant Colony Optimization (ACO) algorithm. The procedure is applied on Single Machine with Infinite Bus (SMIB) system with power system stabilizer (PSS) at three different loading regimes. The simulations are made by using MATLAB software. The results show that by using Improved Ant Colony Optimization (IACO) the system will give better performance with less number of iterations as it compared with a previous modification on ACO. In addition, the probability of selecting the arc depends on the best ant performance and the evaporation rate.

 

Downloads

Download data is not yet available.
Published
2018-01-14
How to Cite
AL-MulaHumadi, R., Abbas, N. and Joodi, M. (2018) “Optimum Design of Power System Stabilizer based on Improved Ant Colony Optimization Algorithm”, Journal of Engineering, 24(1), pp. 123-145. Available at: http://joe.uobaghdad.edu.iq/index.php/main/article/view/501 (Accessed: 25January2020).