NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

Electricity consumer dishonesty is a problem faced by all power utilities. Finding efficient measurements for detecting fraudulent electricity consumption has been an active research area in recent years. This paper presents an approach towards detection of Non-technical Losses (NTLs) of Large Power Consumers (LPC) in Tenaga Nasional Berhad (TNB) Malaysia. The main motivation of this study is to assist Tenaga Nasional Berhad (TNB) Sdn. Bhd. in Malaysia to reduce its NTLs in the LPC distribution sector. Remote meters installed at premises of LPC customers transmit power consumption data including remote meter events wirelessly to TNB Metering Services Sdn. Bhd. The remote meter reading (RMR) consumption data for TNB LPC customers is recorded based on half-hourly intervals. The technique proposed in this paper correlates the half-hourly RMR consumption data with abnormal meter events. The correlated data provides information regarding consumption characteristics i.e. load profiles of LPC customers, which helps to expose abnormal consumption behavior that is known to be highly correlated with NTL activities and electricity theft. Pilot testing results obtained from TNB Distribution (TNBD) Sdn. Bhd. for onsite inspection of LPC customers in peninsular Malaysia indicate the proposed NTL detection technique is effective with a 55% detection hitrate. With the implementation of this intelligent system, NTL activities of LPC customers in TNB Malaysia will reduce significantly.

Original languageEnglish
Title of host publicationProceeding, 2010 IEEE Student Conference on Research and Development - Engineering
Subtitle of host publicationInnovation and Beyond, SCOReD 2010
Pages202-206
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 - Kuala Lumpur, Malaysia
Duration: 13 Dec 201014 Dec 2010

Other

Other2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
CountryMalaysia
CityKuala Lumpur
Period13/12/1014/12/10

Fingerprint

larceny
electricity
Malaysia
Electricity
customer
Intelligent systems
Electric power utilization
electricity consumption
Inspection
event
consumption behavior
Testing

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Education

Cite this

Nagi, J., Yap, K. S., Nagi, F., Tiong, S. K., Koh, J. S. P., & Khaleel Ahmed, S. (2010). NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia. In Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 (pp. 202-206). [5704002] https://doi.org/10.1109/SCORED.2010.5704002
Nagi, J. ; Yap, Keem Siah ; Nagi, F. ; Tiong, Sieh Kiong ; Koh, Johnny Siaw Paw ; Khaleel Ahmed, Syed. / NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia. Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. pp. 202-206
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title = "NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia",
abstract = "Electricity consumer dishonesty is a problem faced by all power utilities. Finding efficient measurements for detecting fraudulent electricity consumption has been an active research area in recent years. This paper presents an approach towards detection of Non-technical Losses (NTLs) of Large Power Consumers (LPC) in Tenaga Nasional Berhad (TNB) Malaysia. The main motivation of this study is to assist Tenaga Nasional Berhad (TNB) Sdn. Bhd. in Malaysia to reduce its NTLs in the LPC distribution sector. Remote meters installed at premises of LPC customers transmit power consumption data including remote meter events wirelessly to TNB Metering Services Sdn. Bhd. The remote meter reading (RMR) consumption data for TNB LPC customers is recorded based on half-hourly intervals. The technique proposed in this paper correlates the half-hourly RMR consumption data with abnormal meter events. The correlated data provides information regarding consumption characteristics i.e. load profiles of LPC customers, which helps to expose abnormal consumption behavior that is known to be highly correlated with NTL activities and electricity theft. Pilot testing results obtained from TNB Distribution (TNBD) Sdn. Bhd. for onsite inspection of LPC customers in peninsular Malaysia indicate the proposed NTL detection technique is effective with a 55{\%} detection hitrate. With the implementation of this intelligent system, NTL activities of LPC customers in TNB Malaysia will reduce significantly.",
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Nagi, J, Yap, KS, Nagi, F, Tiong, SK, Koh, JSP & Khaleel Ahmed, S 2010, NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia. in Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010., 5704002, pp. 202-206, 2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010, Kuala Lumpur, Malaysia, 13/12/10. https://doi.org/10.1109/SCORED.2010.5704002

NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia. / Nagi, J.; Yap, Keem Siah; Nagi, F.; Tiong, Sieh Kiong; Koh, Johnny Siaw Paw; Khaleel Ahmed, Syed.

Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. p. 202-206 5704002.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia

AU - Nagi, J.

AU - Yap, Keem Siah

AU - Nagi, F.

AU - Tiong, Sieh Kiong

AU - Koh, Johnny Siaw Paw

AU - Khaleel Ahmed, Syed

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N2 - Electricity consumer dishonesty is a problem faced by all power utilities. Finding efficient measurements for detecting fraudulent electricity consumption has been an active research area in recent years. This paper presents an approach towards detection of Non-technical Losses (NTLs) of Large Power Consumers (LPC) in Tenaga Nasional Berhad (TNB) Malaysia. The main motivation of this study is to assist Tenaga Nasional Berhad (TNB) Sdn. Bhd. in Malaysia to reduce its NTLs in the LPC distribution sector. Remote meters installed at premises of LPC customers transmit power consumption data including remote meter events wirelessly to TNB Metering Services Sdn. Bhd. The remote meter reading (RMR) consumption data for TNB LPC customers is recorded based on half-hourly intervals. The technique proposed in this paper correlates the half-hourly RMR consumption data with abnormal meter events. The correlated data provides information regarding consumption characteristics i.e. load profiles of LPC customers, which helps to expose abnormal consumption behavior that is known to be highly correlated with NTL activities and electricity theft. Pilot testing results obtained from TNB Distribution (TNBD) Sdn. Bhd. for onsite inspection of LPC customers in peninsular Malaysia indicate the proposed NTL detection technique is effective with a 55% detection hitrate. With the implementation of this intelligent system, NTL activities of LPC customers in TNB Malaysia will reduce significantly.

AB - Electricity consumer dishonesty is a problem faced by all power utilities. Finding efficient measurements for detecting fraudulent electricity consumption has been an active research area in recent years. This paper presents an approach towards detection of Non-technical Losses (NTLs) of Large Power Consumers (LPC) in Tenaga Nasional Berhad (TNB) Malaysia. The main motivation of this study is to assist Tenaga Nasional Berhad (TNB) Sdn. Bhd. in Malaysia to reduce its NTLs in the LPC distribution sector. Remote meters installed at premises of LPC customers transmit power consumption data including remote meter events wirelessly to TNB Metering Services Sdn. Bhd. The remote meter reading (RMR) consumption data for TNB LPC customers is recorded based on half-hourly intervals. The technique proposed in this paper correlates the half-hourly RMR consumption data with abnormal meter events. The correlated data provides information regarding consumption characteristics i.e. load profiles of LPC customers, which helps to expose abnormal consumption behavior that is known to be highly correlated with NTL activities and electricity theft. Pilot testing results obtained from TNB Distribution (TNBD) Sdn. Bhd. for onsite inspection of LPC customers in peninsular Malaysia indicate the proposed NTL detection technique is effective with a 55% detection hitrate. With the implementation of this intelligent system, NTL activities of LPC customers in TNB Malaysia will reduce significantly.

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U2 - 10.1109/SCORED.2010.5704002

DO - 10.1109/SCORED.2010.5704002

M3 - Conference contribution

SN - 9781424486489

SP - 202

EP - 206

BT - Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering

ER -

Nagi J, Yap KS, Nagi F, Tiong SK, Koh JSP, Khaleel Ahmed S. NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia. In Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. p. 202-206. 5704002 https://doi.org/10.1109/SCORED.2010.5704002