Identificação de rotas relevantes para o planejamento estático da expansão de sistemas de transmissão de energia elétrica

Abstract

This thesis presents a new strategy aimed at the search space reduction and initialization of the multimodal optimization process to solve the problem of static expansion planning of electric power transmission systems. The proposed methodology uses a constructive heuristic algorithm based on sensitivity indices, in which the expansion decisions are relaxed and represented through the hyperbolic tangent function. By considering different slopes of the hyperbolic tangent function, within a predetermined range, associated with the main existing sensitivity indices in the literature, it is possible to extract a reduced set of expansion alternatives. Thus, based on the heuristic information obtained, a bio-inspired algorithm is used to obtain a final expansion plan for electric power transmission systems. The electric power transmission network is represented by a linear load flow. The final expansion plans obtained by the proposed methodology were satisfactory, showing that the use of the hyperbolic tangent function added to the adopted heuristics yielded an effective decision strategy. The Garver system, IEEE 24 bus system, real equivalent system in southern Brazil 46 bus and real Colombian system 93 bus were analyzed. The results obtained by the proposed method were satisfactory with excellent quality.