With the increase in home automation and control solutions through interconnected devices there is a greater interest for the development of more advanced home energy management systems (HEMS). In this paper we propose a Home Energy Management Multi-Agent (HEMMA) protocol to facilitate the distributed optimization of a HEMS. A distributed optimal power flow algorithm based on the method of multipliers is applied to the HEMMA protocol in order to optimize the problem of DC power supply to a smart building. Together, the distributed optimization strategy and HEMMA protocol implemented by agents in an Internet of Things are able to achieve a local optimum to the global problem while observing the voltage and power supply constraints of the DC power sources and servicing constant current and constant power loads.

Item Type:	Refereed Conference Paper
Keywords:	cooperative systems, internet of things, distributed algorithms, distributed control, optimization, smart building, home automation
Research Division:	Engineering
Research Group:	Electrical and Electronic Engineering
Research Field:	Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Objective Division:	Energy
Objective Group:	Energy Storage, Distribution and Supply
Objective Field:	Energy Transmission and Distribution (excl. Hydrogen)
UTAS Author:	Millar, B (Dr Benjamin Millar)
UTAS Author:	Jiang, D (Dr Danchi Jiang)
ID Code:	123649
Year Published:	2017
Deposited By:	Engineering
Deposited On:	2018-01-16
Last Modified:	2018-06-18
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