Mejoramiento de Redes Eléctricas de Distribución por medio de Generación Distribuida utilizando una metodología Probabilística Bivariada

Abstract

Distributed generation reduces energy loss in power supplies and improves voltage profiles. As it is extremely complex, describe a system of energy loss equations in a distribution feeder without any simplification. It uses the OPENDSS software to shape the feeder and, through Matlab, send control instructions and analysis of results. To replicate the best possible scenario, it uses the bivariate probability uniform, as the mathematical tool that reproduces each location and the power of DG to choose the best option that reduces loss, considering additional analysis with energy

profiles. The use of capacitors is done in conjunction with GD to improve the voltage profiles. Validation of the results is done by comparing CYME precision levels with OPENDSS in the 123 node IEEE feeder. The use of wind and photovoltaic generation, as the renewable energy resource, is the most widely used in GD, as the first step to migrate smart grids.