Title
Secure and threshold-based power usage control in smart grid environments
Abstract
Due to various advantages such as energy efficiency, reliability and self-monitoring, the smart grid technology has been emerging as the next-generation intelligent power grid system. Some of the well-known telecommunication, IT and power industries have already adopted smart grid technology along their daily business operations. This paper mainly focuses on the prevention of power outage issue in a smart grid environment. More specifically, consider a utility company which sets a threshold on the total power usage of households from a neighbourhood. Whenever the total power usage from the neighbourhood exceeds the threshold, some of the households need to reduce their energy consumptions, thereby avoiding the possibility of power outage. In the literature, this problem is referred to as threshold-based power usage control TPUC. In order to solve the TPUC problem, the utility company is required to collect the power usage data of households in a periodic fashion. However, due to privacy reasons, the above problem is not straightforward in a privacy-preserving environment. We emphasise that the existing privacy-preserving TPUC algorithms are either insecure or inefficient. Therefore, this paper proposes two novel secure and distributed TPUC protocols by preserving the privacy of households in a given neighbourhood. Furthermore, we empirically show the practical value of the proposed protocols through various experiments.
Year
DOI
Venue
2014
10.1080/17445760.2013.850690
IJPEDS
Keywords
Field
DocType
threshold-based power usage control,smart grid technology,total power usage,next-generation intelligent power grid,power usage data,power outage issue,utility company,power outage,smart grid environment,tpuc problem,power industry,encryption,smart grid,privacy
Smart grid,Business operations,Computer security,Computer science,Efficient energy use,Computer network,Encryption,Power grid,Neighbourhood (mathematics),Power usage effectiveness,Distributed computing,Power usage
Journal
Volume
Issue
ISSN
29
3
1744-5760
Citations 
PageRank 
References 
4
0.43
11
Authors
4
Name
Order
Citations
PageRank
Bharath K. Samanthula11058.54
Hu Chun240.77
Wei Jiang338327.56
Bruce McMillin426440.75