Design of Standalone Micro-Grid Systems Using Teaching Learning Based Optimization

Abstract

Meeting the load demand reliably and efficiently is the most important issue of any electrical system. Installing huge off grid hybrid power systems to deliver enough power is economically unwise. Therefore, it is necessary to minimize the size and number of units of the off-grid power system components and operate the system under an appropriate power management strategy to ensure efficient system operation. The successfulness of installing an off grid power system in remote areas depends on the total net present cost occurs during the lifetime of the project. In this work, optimization of off grid power system component sizing is performed using two tools: Homer and a metaheuristic optimization method that has been recently developed, the Teaching Learning Based Optimization (TLBO).