Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/73905
Title: Smart home energy management with vehicle-to-home technology
Authors: Li, C
Luo, F
Chen, Y
Xu, Z 
An, Y
Li, X
Keywords: Demand response
Home energy management system
Natural aggregation algorithm
Vehicle to home
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE International Conference on Control and Automation, ICCA, 2017, 8003048, p. 136-142 How to cite?
Abstract: With the increasingly prevalence of building automation devices and two-way communication infrastructure, home energy management has drawn lots of attentions in recent years. As a newly emerged residential energy resource, the home plugged electric vehicle (EV) has the potential to discharge energy and serve the home consumption. This paper proposes a home energy management (HEMS) by considering the penetration of vehicle-to-home (V2H) technology. The proposed system optimally schedules the plugged EV together with the automatically operated appliances in a real-time pricing environment, with the aim to minimize the one-day cost of the house. A recently proposed heuristic based algorithm, i.e., Natural Aggregation Algorithm (NAA) is applied to solve the HEMS model. Simulations results show that the V2H technology can significantly reduce the home energy cost for the residential users.
URI: http://hdl.handle.net/10397/73905
ISBN: 9781538626795
ISSN: 1948-3449
DOI: 10.1109/ICCA.2017.8003048
Appears in Collections:Conference Paper

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