Probabilistic methodology for Technical and Non-Technical Losses estimation in distribution system

被引：39
|
作者：
Aranha Neto, Edison A. C. [1 ]
Coelho, Jorge [1 ]
机构：
[1] Univ Fed Santa Catarina, LabPlan UFSC, Elect Syst Planning Res Lab, BR-88040900 Florianopolis, SC, Brazil
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2013年 / 97卷
关键词：
Probabilistic Energy Balance; Technical Losses; Non-Technical Losses; Distribution systems; Measurement data; Case study;
D O I：
10.1016/j.epsr.2012.12.008
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This work contemplates the development and application of a probabilistic methodology for the Technical and Non-Technical Losses estimation in a feeder in the presence of load variations of a large distribution system. Due to such variations in load, the feeder losses are also characterized as random variables which are related to statistical moments, such as mean and variance. Comparing the Measured Energy consumption in the feeder with the Billed Energy by the utility plus the Technical Losses, the energy balance is made and the Non-Technical Losses are estimated. Along a feeder, meters are installed allowing its division into sub-networks, therefore, the Non-Technical Losses of each circuit are estimated with greater precision. This methodology is useful in countries that Smart Grids are far from reality and the resources are scarce. A real system was used as a case study for the Probabilistic Energy Balance developed. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码：93 / 99
页数：7
相关论文
共 50 条
  • [31] The Effect of the Types of Network Topologies on Non-Technical Losses in Secondary Electric Distribution Systems
    Yorukoglu, Sinan
    Nasibov, Fuad
    Mungan, Mehmet
    Bagriyanik, Mustafa
    2016 IEEE/IAS 52ND INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2016,
  • [32] 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,
  • [33] Methodology for detecting Non-Technical Losses with Smart Metering employing Multi-Agent Sytems
    Damiani, Juliano Silva
    Da Costa, Guilherme Braga
    Cardoso, Ghendy, Jr.
    Wontroba, Aldair
    Gallas, Mairon
    de Morais, Adriano Peres
    2023 15TH SEMINAR ON POWER ELECTRONICS AND CONTROL, SEPOC, 2023,
  • [34] Comprehensive Data-Driven Framework for Detecting and Classifying Non-Technical Distribution Losses
    Jene-Vinuesa, Marc
    Aragues-Penalba, Monica
    Sumper, Andreas
    IEEE ACCESS, 2024, 12 : 96537 - 96551
  • [35] Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models
    Souza, Murilo A.
    Gouveia, Hugo T. V.
    Ferreira, Aida A.
    de Lima Neta, Regina Maria
    Neto, Otoni Nobrega
    da Silva Lira, Milde Maria
    Torres, Geraldo L.
    de Aquino, Ronaldo R. B.
    ENERGIES, 2024, 17 (07)
  • [36] Energy Meter Tampering: Major Cause of Non-Technical Losses in Indian Distribution Sector
    Chandel, Priyamvada
    Thakur, Tripta
    Sawale, B. A.
    2016 INTERNATIONAL CONFERENCE ON ELECTRICAL POWER AND ENERGY SYSTEMS (ICEPES), 2016, : 368 - 371
  • [37] 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,
  • [38] Increasing the Efficiency in Non-Technical Losses Detection in Utility Companies
    Guerrero, Juan I.
    Leon, Carlos
    Biscarri, Felix
    Monedero, Inigo
    Biscarri, Jesus
    Millan, Roco
    MELECON 2010: THE 15TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, 2010, : 136 - 141
  • [39] The Impact of Smart Prepaid Metering on Non-Technical Losses in Ghana
    Otchere-Appiah, Gideon
    Takahashi, Shingo
    Yeboah, Mavis Serwaa
    Yoshida, Yuichiro
    ENERGIES, 2021, 14 (07)
  • [40] Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?
    Glauner, Patrick
    Migliosi, Angelo
    Meira, Jorge Augusto
    Valtchev, Petko
    State, Radu
    Bettinger, Franck
    2017 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP), 2017,
12345