Technical loss computation and economic dispatch model for T&amp;D systems in a deregulated ESI

Davidson, Innocent E.; Odubiyi, A.; Kachieng'a, M.O.; Manhire, Brian

doi:10.1049/pe:20020201

Cited by 29 publications

(11 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Goa College of Engineering Fannagudi, Ponda Goa iayeshpriolkar@gmail.com perfonnance on power system network has been reported and analysed in works [3][4][5]. Reforms and deregulation of power sector, implementation of Electricity act 2003, and competition among power industries has forced the utilities to focus on up gradation of existing system and creation of smart electrical distribution system which will improve aggregate technical and commercial (A T &C) losses.…”

Section: Department Of Electrical Engineeringmentioning

confidence: 99%

Anti-theft energy metering for smart electrical distribution system

Hashmi

Priolkar

2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

View full text Add to dashboard Cite

Accurate metering and billing of actual energy consumed by consumers is integral to commercial management of an electric utility. An aggregate technical and commercial loss in India is around 27% and this is very high in spite of various reforms and measures by electricity boards across country. One of the significant components of these losses is Theft. Electricity theft is a grave problem across the globe. Improvement in aggregate technical and commercial losses in phased manner is very important for financial and technical viability of distribution companies in deregulated environment. The major challenge is to identify the location of the theft and estimate the amount of energy being stolen. Research to identify power pilferages and remedial measures to overcome them in electricity sector has been going on in recent years. The Paper proposes a conceptual approach to get both the approximate location and estimate of energy theft at that location. With both information available in real time, it will completely change the landscape of electrical sector across the nation.

show abstract

Section: Department Of Electrical Engineeringmentioning

confidence: 99%

Anti-theft energy metering for smart electrical distribution system

Hashmi

Priolkar

2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

View full text Add to dashboard Cite

show abstract

“…It is possible, however, to take measures to detect, prevent and reduce fraud [1]. Investigations are undertaken by electric utilities to assess the impact of technical losses in generation, transmission and distribution networks [2][3].…”

Section: Introductionmentioning

confidence: 99%

Power Theft Identification Using Smart Grid Technology

Shikalgar¹

2015

IJRITCC

View full text Add to dashboard Cite

show abstract

“…Investigations are undertaken by electric utility companies to assess the impact of technical losses in generation, transmission and distribution networks, and the overall performance of power networks [5], [6]. NTLs comprise one of the most important concerns for electricity distribution utilities worldwide.…”

Section: Introductionmentioning

confidence: 99%

NTL detection of electricity theft and abnormalities for large power consumers In TNB Malaysia

Nagi

Yap

Nagi

et al. 2010

2010 IEEE Student Conference on Research and Development (SCOReD)

View full text Add to dashboard Cite

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.

show abstract

Technical loss computation and economic dispatch model for T&D systems in a deregulated ESI

Cited by 29 publications

References 2 publications

Anti-theft energy metering for smart electrical distribution system

Anti-theft energy metering for smart electrical distribution system

Power Theft Identification Using Smart Grid Technology

NTL detection of electricity theft and abnormalities for large power consumers In TNB Malaysia

Contact Info

Product

Resources

About