ARTIFICIAL BEE COLONY ALGORITHM TO SOLVE THE OPTIMAL POWER FLOW PROBLEM ON BEN TRE POWER SYSTEM

Abstract

One of the key requirements in operating the power system is achieving economic efficiency in electricity production, transmission, distribution, and use. To do so, the system must run at the lowest cost possible, which necessitates minimizing both fuel costs and power losses. The optimal power flow (OPF) problem addresses this by seeking to minimize the total generator fuel cost while satisfying all voltage constraints, reactive power limitations at generator nodes, and transformer tap ratios. This research investigates the application of the application of the artificial bee colony (ABC) algorithm for solving the OPF problem. Inspired by the foraging behavior of honeybees, ABC utilizes a population of ‘bees’ to search for optimal solutions and share information with each other. Tests on the Ben Tre power system using PowerWorld software demonstrate the algorithm's ability to find optimal solutions quickly. Therefore, the ABC algorithm shows promise as a viable tool for solving the OPF problem.