Title :
Power line carrier (PLC) signal analysis of smart meters for outlier detection
Author :
Rao, Rakesh ; Akella, Srinivas ; Guley, Gokhan
Author_Institution :
Dept. of Comput. Sci., Univ. of North Carolina at Charlotte, Charlotte, NC, USA
Abstract :
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.
Keywords :
carrier transmission on power lines; power meters; power system measurement; power transformers; PLC signal strength; communication node; local power outages; outlier detection; power line carrier; residential smart meters; signal analysis; signal strength distribution; transformer; transmission problems; Electricity; Mathematical model; Measurement; Nickel; Probability distribution; Silicon; Smart grids;
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2011 IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1704-8
Electronic_ISBN :
978-1-4577-1702-4
DOI :
10.1109/SmartGridComm.2011.6102335
