By Topic

Power line carrier (PLC) signal analysis of smart meters for outlier detection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Rao, R. ; Dept. of Comput. Sci., Univ. of North Carolina at Charlotte, Charlotte, NC, USA ; Akella, S. ; Guley, G.

A method for identifying outliers among a set of smart meters by using the power line carrier (PLC) signal strength is presented in this paper. The broad goal is to use the PLC signal as a predictor of transmission problems to proactively avert local power outages. The proposed method uses the PLC signal strength measured between the communication node (transformer) and residential smart meters. The paper presents four metrics based on the distribution of signal strengths, with each metric identifying a class of outliers. After detecting the set of outliers using these metrics, we identify the set of representative good meters.

Published in:

Smart Grid Communications (SmartGridComm), 2011 IEEE International Conference on

Date of Conference:

17-20 Oct. 2011