An Application of Artificial Bee Colony Algorithm in a Power System

Tuning of the system and the controller parameters always constituted an important part of the control applications in power system. These processes need complex mathematical calculations including derivative elements classically. However, these nowadays accomplished more easily and in shorter times, using by iterative optimization approaches such as evolutionary or swarm intelligence based methods. Depend on these approaches; many different optimization algorithms based on natural life have been present so far. One of them is the swarm intelligence based Artificial Bee Colony (ABC) algorithm that attracts attention by its powerful convergence capability, high applying capacity, elasticity, and robustness. In this article, the literature related to Artificial Bee Colony algorithm and its applications in power system control comprehensively investigated, and then the case study about the ABC algorithm based optimization of Automatic Voltage Regulation (AVR) system presented as an application example for being help to the researchers.