Energy Management System for Integration of Different Renewable Energy System into Microgrids

Abstract

Renewable energy (RE) is currently being used on a wide scale to meet the rising demand for energy, minimise pollution in environmental, and achieve sustainable social and economic benefits. This paper focuses on the design and development of EMS that can ensure the safe operation of island microgrids (MGs) in the event of possible imbalances between load demand and power generation. Energy management system (EMS) performs optimized calculations for the low priority loads that need to be shut down and the charging and discharging cycle of the batteries in the microgrid (MG). The non-linear model predictive control (NMPC) algorithm was selected to implement energy management system, which processes a data set consisting of power generation, load measurement, battery state of charge (SOC), and set of operating constraints. Energy management system was designed under assumption of installing Advanced Metering Infrastructure (AMI) in MG. Energy management system (EMS) was tested on a simulation platform that integrates a model of the microgrid (MG) component and its distributed controller (DC). The simulation results demonstrate the effectiveness of this method, because even when there is a fault in one of the distributed controllers, key variables such as the voltage and frequency amplitude of the microgrid (MG) will operate within a secured interval.