Rule-based Energy Management System in an Experimental Microgrid with the Presence of Time of Use Tariffs
Griffith School of Engineering, Griffith University, Nathan Campus, 4111, Brisbane, Australia
This paper aims to investigate a method of peak load shaving through the utilization of solar PV and battery energy storage whilst creating a cost effective Energy Management System (EMS). This is achieved by utilizing a rule-sets to manage and optimize a scheduling system with a forecasting algorithm. As Time of Use (ToU) tariffs change throughout the day, a cost benefit can be achieved when a smart energy storage system is appropriately employed. The EMS operation is tested on an experimental microgrid with commercial load considering payback period calculation.
© The Authors, published by EDP Sciences, 2016
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