Full text not available from this repository.

Abstract

With the increase in home automation and controlsolutions through interconnected devices there is a greaterinterest for the development of more advanced home energymanagement systems (HEMS). In this paper we propose aHome Energy Management Multi-Agent (HEMMA) protocolto facilitate the distributed optimization of a HEMS. Adistributed optimal power flow algorithm based on the methodof multipliers is applied to the HEMMA protocol in order tooptimize the problem of DC power supply to a smart building.Together, the distributed optimization strategy and HEMMAprotocol implemented by agents in an Internet of Things areable to achieve a local optimum to the global problem whileobserving the voltage and power supply constraints of the DCpower sources and servicing constant current and constantpower loads.

Item Type:	Conference Publication
Authors/Creators:	Millar, BS and Jiang, D
Keywords:	cooperative systems, internet of things, distributed algorithms, distributed control, optimization; smart building, home automation
Journal or Publication Title:	Proceedings from the 17th IEEE International Conference on Communication Technology
Copyright Information:	Copyright 2017 IEEE
Related URLs:	Google Scholar: Jiang, D UTAS Profile: Jiang, D
Item Statistics:	View statistics for this item

Actions (login required)

Item Control Page