Detection of energy theft and metering defects in advanced metering infrastructure using analytics

Sook-Chin Yip, Chiakwang Tan, Wooi-Nee Tan, Ming-Tao Gan, Koksheik Wong, Raphael C.-W. Phan

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

12 Citations (Scopus)

Abstract

Non-technical losses including electricity theft and anomalies in meter readings are estimated to cost the utility providers tremendous losses of approximately $96 billion per annum. The adoption of smart meter has encouraged utility providers to use analytics to identify theft. To curb nontechnical losses, they are increasingly leveraging on real-time smart metering and analytics to identify energy theft and irregularities in meter readings. We have previously put forward linear regression-based and linear programming-based anomaly detection frameworks to study consumers' energy consumption behavior for detecting the localities of metering defects as well as energy thefts. In this work, we design and construct an advanced metering infrastructure test rig in the laboratory to perform comparison studies on our previously proposed anomaly detection frameworks in smart grid environment. Results from both test rig and simulations show that linear regression-based anomaly detection framework is able to identify the positions of energy thieves and faulty smart meters without requiring large volume of data samples. However, linear programming-based framework is more robust as compared to linear regression-based because the former is capable of detecting more sophisticated types of energy theft/meter irregularities accurately even in the presence of technical losses/calibration errors.

Original languageEnglish
Title of host publication2018 International Conference on Smart Grid and Clean Energy Technologies, ICSGCE 2018
EditorsZhusheng Kang
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages15-22
Number of pages8
ISBN (Electronic)9781538664100, 9781538667965, 9781538667958
ISBN (Print)9781538667972
DOIs
Publication statusPublished - 2018
EventInternational Conference on Smart Grid and Clean Energy Technologies (ICSGCE) 2018 - Kajang, Malaysia
Duration: 29 May 20181 Jun 2018
Conference number: 7th
https://ieeexplore.ieee.org/xpl/conhome/8536801/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Smart Grid and Clean Energy Technologies (ICSGCE) 2018
Abbreviated titleICSGCE 2018
Country/TerritoryMalaysia
CityKajang
Period29/05/181/06/18
Internet address

Keywords

  • AMI
  • analytics
  • linear programming
  • linear regression
  • non-technical losses detection
  • technical losses

Cite this