Smart home electricity management in the context of local power resources and smart grid

Authors

Weiliang Zhao, University of WollongongFollow
Lan Ding, University of WollongongFollow
Paul Cooper, University of WollongongFollow
Pascal Perez, University of WollongongFollow

RIS ID

82632

Publication Details

Zhao, W., Ding, L., Cooper, P. & Perez, P. (2014). Smart Home Electricity Management in the Context of Local Power Resources and Smart Grid. Journal of Clean Energy Technologies, 2 (1), 73-79.

Abstract

This work proposes a smart home electricity management approach that can predict and schedule electricity demand and supply by considering: the 'state' of the smart grid, local power generation capacity, and electrical consumption of household appliances. The prediction of weather conditions and the immediate and longer-term plans of the residential home occupants are crucial parameters in the smart home decision-making system that acts on behalf of the occupants. This paper provides a motivation example and associated scenarios, electrical energy supply/demand models, formalization of the cost optimization problem, and scheduling schemes for a smart home electricity management system in the context of a smart grid, smart appliances, and local renewable energy resources. A case study is provided to illustrate how the proposed approach works.