Utilización de algoritmos genéticos en la optimización de potencia reactiva para el cumplimiento del factor de potencia en los puntos de entrega de la Empresa Eléctrica Quito

Abstract

The objective of this degree work is to develop a computational tool that allows the optimization of reactive power in order to improve the power factor at the delivery points of Empresa Eléctrica Quito (EEQ).

First, a bibliographic review of several technical works that use genetic algorithms to solve problems with the electrical parameters of electrical power systems is carried out in order to establish a methodology that can correct the low power factor of EEQ.

Within the developed methodology, genetic algorithms are used to minimize the reactive power and operate optimally the reactive compensation elements installed in the Electrical System of Empresa Eléctrica Quito (SEQ).

With the established methodology, a computational routine is programmed that communicates through comma-separated values (.csv) files to MATLAB and PowerFactory to send and receive the optimal values of the power flow of the electrical system and comply with the electrical limits present in the regulation.

The computational tool is applied to a base model of the SEQ in maximum and minimum demand for the years 2018 to 2023. Finally, an approximation of the reagent penalty cost of the base model is performed.