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

fYear

2011

fDate

17-20 Oct. 2011

Firstpage

291

Lastpage

296

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SmartGridComm.2011.6102335

Filename

6102335