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. © 2013 Taylor & Francis.
Recommended Citation
B. K. Samanthula et al., "Secure and Threshold-Based Power Usage Control in Smart Grid Environments," International Journal of Parallel, Emergent and Distributed Systems, vol. 29, no. 3, pp. 264 - 289, Taylor and Francis Group; Taylor and Francis, May 2014.
The definitive version is available at https://doi.org/10.1080/17445760.2013.850690
Department(s)
Computer Science
Keywords and Phrases
encryption; power usage; privacy; smart grid
International Standard Serial Number (ISSN)
1744-5779; 1744-5760
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Taylor and Francis Group; Taylor and Francis, All rights reserved.
Publication Date
04 May 2014
Comments
National Science Foundation, Grant N000141110256