Comparative Analysis of Metaheuristic Techniques for Solving Transmission Planning

Abstract

This paper presents the solution to the problem of transmission expansion planning (TEP) for electric power systems (EPS), using the DC model through different metaheuristic optimization techniques (MOT). The operational load flow problem is solved by the interior point method. The techniques discussed are: genetic algorithms, ant colony optimization, particle swarm, and artificial bee colony. Additionally, a controlled randomized scheme is included in each algorithm for population initialization, and a phase of improving optimality. The proposed modified algorithms are tested on Garver’s 6-node system and on the IEEE 24-node system. A comparative analysis of methods is carried out from the point of view of computational effort