Planificación óptima multietapa de la expansión de los sistemas de transmisión usando el modelo AC

Abstract

Multistage Transmission Expansion Planning (MTEP) seeks to answer where, how many, and when new elements, like transmission lines or transformers, should be added to the electrical system for allowing a correct and efficient operation along the planning horizon. Answering these questions could allow to obtain some economic benefits in the long term. In this thesis, it is proposed a load shedding formulation extended for the multistage AC model. To solve the MTEP problem, a metaheuristic called GRASPR is used. The proposed optimization technique combines Greedy Randomized Adaptive Search Procedure (GRASP) and Path Relinking (PR) in a new way. Solutions were tested on Garver and IEEE 24 Bus test systems. Additionally, to show the importance of a multistage planning, the problem was solved for static and quasi-dynamic approaches. In order to validate the results, those were compared with the ones obtained by using PSO optimization. GRASPR performance suggest that it is a promising technique to solve MTEP problem. Finally, results show the importance to solve the electric transmission expansion planning problem in a dynamic way.