Planificación óptima de la expansión de sistemas de trasmisión con restricciones de seguridad: algoritmo de optimización heurística B.

Abstract

The planning of electrical transmission systems is carried out following technical and economic parameters. Transmission plans must ensure proper performance of the electrical system and do so at the lowest possible cost. The construction of branches in the network, determined by the obtained plan, will seek to guarantee proper operation under normal conditions as well as in contingency situations at the lowest possible cost. Under these considerations, a tool is presented through the Python programming language that allows the determination of optimal expansion plans for the transmission system. The described tool will consider safety constraints and contingencies of different branches to ensure the operational conditions described earlier. The computational tool will be enhanced by a heuristic algorithm, the mean-variance mapping optimization algorithm (MVMO), whose objective is the generation of optimal expansion plans. The implemented heuristic will determine and select optimal expansion plans by analyzing the system through the modeling of optimal power flow in direct current, considering safety constraints. Thus, transmission expansion plans consider technical operational constraints and safety constraints,prioritizing the supply of energy to the load under different operational conditions. The developed tool is validated by determining optimal expansion plans in test networks available in the literature.