Análisis multi-objetivo para óptimo dimensionamiento y ubicación de generación distribuida enfocado en mejorar la calidad de la energía eléctrica

Abstract

The growing behavior of electric power demand and the awareness of environmental care has allowed distributed generation (DG) to be booming in recent years. For this reason, the purpose of this document is the optimal location and capacity of (DG) based on multiple objectives that correspond to the minimization of active power losses, improvement of the voltage stability index and cost reduction in the network. To this goal, the use of an algorithm inspired by the behavior of lion ants, known as Ant Lion Optimizer (OAL), was proposed.