Abstract (EN):
This paper describes a hybrid tool to perform Static
Transmission Expansion Planning, STEP, studies and its
application to the Garver 6-Bus academic system and to the
Southern Brazilian Transmission equivalent real system. The
developed STEP tool integrates two phases as follows. The first
one uses Constructive Heuristic Algorithms (CHA) to reduce the
search space, and the second uses Particle Swarm Optimization
(PSO) to identify the final solution. This hybridization between
CHAs and PSO proved to be very effective and shows good
performance to reduce the size of the STEP search space and to
identify good quality solutions. These are relevant issues given
the combinatorial nature of investment problems leading to the
explosion of the number of alternative plans, one of the greatest difficulties faced in this planning problem.
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Nº de páginas:
6
Tipo de Licença: