Sizing and multi-objective optimization of a multisource micro-grid with storage for an economic activity zone

Abstract

Micro-grid is promoted as an economical and efficient energy system in which different renewable sources and storage are interconnected to meet the load power demand at any time. This paper studies a micro-grid simulation for sizing of hybrid power production system consisting on PV/Wind sources with battery storage. A dynamic simulator process is adopted for the sizing of this system. Later a multi-objective optimization study is established with economic activity zone load and different evaluation to look for all the best compromises between four criteria: Loss of Power Supply Probability (LPSP), Embodied Energy (EE), Greenhouse Gas (GHG) and Life Cycle Cost (LCC). A front Pareto is build through the genetic algorithm.