Desarrollo de una herramienta computacional para la determinación de la ubicación óptima de transformadores de distribución aplicando clustering y árbol de expansión mínima.

Abstract

The planning of distribution networks constitutes a problem faced by the country's distribution companies to achieve a continuous supply of quality electrical energy to users. This work is framed in generating a tool for the design of overhead electrical networks focused on a remodeling of networks, within a consolidated urban area, using a heuristic methodology and its academic-type computational implementation in the Python programming language.

The methodology focuses on minimizing costs to determine the number and location of optimal transformers with their respective topologies of the medium and low voltage network, taking into account the location of users dispersed in the study area, existing poles and the road layout, complying with certain restrictions. The methodology is divided into three stages, the first analyzes the secondary networks, the second analyzes the primary network and the third assesses the costs of the feasible solutions. Compliance with the maximum voltage drop in secondary networks, the selection of the optimal conductor and the sizing of the transformers based on the EEQ design regulations. Finally, the tool is applied in a consolidated urban area of the city of Quito.