Rule-based Energy Management System in an Experimental Microgrid with the Presence of Time of Use Tariffs
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Author(s)
Moghimi, Mojtaba
Leskarac, Domagoj
Bennett, Christopher
Lu, Junwei
Stegen, Sascha
Year published
2016
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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.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.
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Journal Title
MATEC Web of Conferences
Volume
70
Copyright Statement
© The Authors, published by EDP Sciences, 2016 This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Subject
Electrical energy generation (incl. renewables, excl. photovoltaics)
Electrical energy storage
Electrical energy transmission, networks and systems