Implementation of Energy Management System with Fuzzy Control for DC Microgrid Systems

This paper presents the Design and Implementation of an energy management system (EMS) with fuzzy control for a dcmicrogrid system. Modeling, investigation, and control of distributed power sources and energy storage devices with MATLAB/Simulink are proposed, and the integrated monitoring EMS is implemented with simulation. To improve the life Cycle of the Battery, fuzzy control manages the desired state of charge. The Fuzzy network has been designed to control the operating mode and to monitor the values of all subsystems in the dc microgrid system. The system comprises of a wind turbine, fuel cell, PV array, battery storage, and a set of loads. The energy management and power regulation system also controls the load scheduling operation during unfavorable wind conditions with inadequate energy storage in order to avoid a system black-out. Based on the reference dynamic operating points of the individual subsystems, the local controllers control the wind turbine, fuel cell, and solar energy and battery storage units. The proposed control system is implemented in MATLAB Simpower software and tested for various wind and load conditions. Results are presented and discussed.

[1]  R. Yokoyama,et al.  Evaluation of Micro-grid Supply and Demand Stability for Different Interconnections , 2006, 2006 IEEE International Power and Energy Conference.

[2]  T. Ninomiya,et al.  High-efficiency high-power dc-dc converter for energy and space saving of power-supply system in a data center , 2011, 2011 Twenty-Sixth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).