Optimización de la instalación de generación eléctrica distribuida con los aprovechamientos de energía potencial de los sistemas de agua de la Empresa Pública Metropolitana de Agua Potable y Saneamiento de Quito

Abstract

This thesis presents a methodology to optimize the installation of the distributed generation hydroelectric projects, from the perspective of the investor, who having overcome the technical feasibility stages, counts with a portfolio of projects to finance. This is the case of the Empresa Pública Metropolitana de Agua Potable y Saneamiento (EPMAPS), which has a portfolio of technically feasible mini and micro hydroelectric projects and expects to justify the investment by addressing the recovery of the energy spent in the processes of drinking water and sanitation, with the production of hydroelectricity for its own consumption. The projects energy production information and the loads consumption behavior are analyzed, to propose an objective function that codifies this behavior. Given the characteristics of the objective function, to solve it, a genetic algorithm is selected, which is programmed in Matlab. The solution is a set of projects whose energy production could replace the consumption from the electricity grid, this solution is presented in Excel to be analyzed from a financial perspective, and present a global vision to enable decision making regarding the projects installation or not.