Non-Technical Losses in Power System and Monitoring of Electricity Theft Over Low-Tension Poles

被引：6
|
作者：
Chauhan, A. Abhishek [1 ]
机构：
[1] Govt Engn Coll, Inst Technol, Dept Elect Engn, Gopeshwar 246401, India
来源：
2015 SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATION ENGINEERING ICACCE 2015 | 2015年
关键词：
Non-technical losses; power supply; tempering in meters; theft of electricity;
D O I：
10.1109/ICACCE.2015.106
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper confers a comprehensive framework along with a hardware approach for the detection of theft of electricity (TOE). Moreover, causes of Non-Technical Losses (NTLs) have been rigorously reviewed and its economic impacts are also highlighted. Proposed framework elucidates that appropriate monitoring of extraction of current at different check points, restrain the fraudulent behavior of customer or TOE.
引用
收藏
页码：280 / 284
页数：5
相关论文
共 50 条
  • [31] The effect of using automatic meter reading system in electricity distribution systems on reducing non-technical losses: The case of Bitlis province in Turkey
    Rustemli, Sabir
    Kocaman, Yunus
    Kocaman, Behcet
    Sahin, Gokhan
    van Sark, Wilfried
    ENERGY STRATEGY REVIEWS, 2025, 58
  • [32] Smart Metering Systems Optimization for Non-Technical Losses Reduction and Consumption Recording Operation Improvement in Electricity Sector
    Vlasa, Ilie
    Gligor, Adrian
    Dumitru, Cristian-Dragos
    Iantovics, Laszlo Barna
    SENSORS, 2020, 20 (10)
  • [33] Detection of Frauds and Other Non-technical Losses in Power Utilities using Smart Meters: A Review
    Ahmad, Tanveer
    Ul Hasan, Qadeer
    INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2016, 17 (03): : 217 - 234
  • [34] Using 0.6 kV/1 kV Low Voltage in Distribution Systems for the Reduction of the Technical and Non-Technical Energy Losses
    Hasan, Hamza
    Mozumdar, Mohmmad
    Al-Jufout, Saleh
    2020 11TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC), 2020,
  • [35] Performance evaluation of selected machine learning techniques in the detection of non-technical losses in the distribution system
    Teffo, Nthabiseng
    Bokoro, Pitshou
    Muremi, Lutendo
    Paepae, Thulane
    2024 32ND SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE, SAUPEC, 2024, : 287 - 291
  • [36] Definition of Regulatory Targets for Electricity Non-Technical Losses: Proposition of an Automatic Model-Selection Technique for Panel Data Regressions
    Correia, Eduardo
    Calili, Rodrigo
    Pessanha, Jose Francisco
    Almeida, Maria Fatima
    ENERGIES, 2023, 16 (06)
  • [37] Enhancement of Monitoring and Non-technical Power Loss Detection in Power Distribution Networks Using WSN State Estimation
    Yousefzadeh, Mohammad
    Kamarposhti, Mehrdad Ahmadi
    Monfared, Ehsan
    ELEKTROTEHNISKI VESTNIK, 2021, 88 (04): : 210 - 217
  • [38] Enhancement of monitoring and non-technical power loss detection in power distribution networks using wsn state estimation
    Yousefzadeh, Mohammad
    Kamarposhti, Mehrdad Ahmadi
    Monfared, Ehsan
    Elektrotehniski Vestnik/Electrotechnical Review, 2021, 88 (04): : 210 - 217
  • [39] Ensemble Bagged Tree Based Classification for Reducing Non-Technical Losses in Multan Electric Power Company of Pakistan
    Saeed, Muhammad Salman
    Mustafa, Mohd Wazir
    Sheikh, Usman Ullah
    Jumani, Touqeer Ahmed
    Mirjat, Nayyar Hussain
    ELECTRONICS, 2019, 8 (08)
  • [40] Non-Technical Losses Estimation in Distribution Feeders Using the Energy Consumption Bill and the Load Flow Power Summation Method
    Bezerra, U. H.
    Soares, T. M.
    Nunes, M. V. A.
    Tostes, M. E. L.
    Vieira, J. P. A.
    Agamez, Piedy
    Viana, P. R. A., Jr.
    de Oliveira, R. C.
    2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2016,
12345