Particle swarm optimization for solving the problem of transmission systems and generation expansion

Abstract EN

This paper proposes an efficient algorithm to solve the problem of multistage and coordinated planning of generation and transmission systems using particle swarm optimization.

This problem is a mixed integer nonlinear programming one, which is difficult for systems of medium and large size and high complexity.

The particle swarm optimization algorithm used is capable of finding high quality and optimal topologies for large size and high complexity systems.

The multistage and coordinated planning with the aid of particle swarm optimization technique present a lower investment cost than static planning.

Test results are applied to two small size medium complexity systems and one large size high complexity system.