Application of ant colony algorithm in reconfiguration of power system distribution network

Abstract

In this paper, the ant colony search algorithm (ACSA) is utilized to solve the matching network reconstruction problem. the advantage of ACSA is the parallel search and optimization capability. This algorithm is inspired by the observation of ant colony behavior. Individual ants in the ant colony algorithm can communicate and collaborate through the perception of pheromones. The study of the distribution network reconfiguration problem by the ant colony algorithm is mainly based on the positive feedback property of the ant colony algorithm and the role of pheromones. The simulation model is used to obtain and study the change curve of the objective function value during the process of the ant colony algorithm, so as to achieve the purpose of reducing network loss and improving stability. The example shows the practicality and effectiveness of the ant colony algorithm for the reconfiguration of power system distribution networks.