Efficient Energy Management System with Storage

Abstract

This paper deals with energy management strategy for AC/DC grid connected network using artificial intelligent techniques. Proposed energy management system aims at maximum utilization of energy sources considering load demand, availability of AC mains, and state of charge of battery. A Spartan 6 FPGA controller is utilized for battery scheduling process which schedules the rate of charge and discharge of battery. It also limits the battery from over charging and deep discharge and thus increasing lifespan of battery. A innovative Variable Frequency SPWM technique utilized to increase efficiency of system. It guarantees power to critical load when AC mains fail. The EMS system accomplishes peak power control by supplying battery power to local load along with AC mains when electricity cost is more. The proposed model simulated using matlab/simulink environment and result found to be better than literature modules.