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Overview, issues and prevention of energy theft in smart grids and virtual power plants in Indian context

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  • Kumar V., Sampath
  • Prasad, Jagdish
  • Samikannu, Ravi

Abstract

This paper is an excerpt and a comprehensive research on Non-Technical losses during T&D. In developing countries, the utility companies are finding it difficult to address losses due to theft, meter tampering and allied problems which affect the quality of supply, increase on generation load and has a significant economic impact on the functioning of the utility company and its genuine consumers in the form of an excessive tariff. As the single largest contributor to T&D losses, various aspects and methods used for theft and detection mechanisms are discussed. This article also highlights the components of AMI and how a simple method of two smart meters equipped with harmonic generators could be used in conjunction to detect theft.

Suggested Citation

  • Kumar V., Sampath & Prasad, Jagdish & Samikannu, Ravi, 2017. "Overview, issues and prevention of energy theft in smart grids and virtual power plants in Indian context," Energy Policy, Elsevier, vol. 110(C), pages 365-374.
    • Handle: RePEc:eee:enepol:v:110:y:2017:i:c:p:365-374
    DOI: 10.1016/j.enpol.2017.08.032
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    References listed on IDEAS

    as
    1. Depuru, Soma Shekara Sreenadh Reddy & Wang, Lingfeng & Devabhaktuni, Vijay, 2011. "Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft," Energy Policy, Elsevier, vol. 39(2), pages 1007-1015, February.
    2. Flavin, Christopher & Lenssen, Nicholas, 1994. "Reshaping the electric power industry," Energy Policy, Elsevier, vol. 22(12), pages 1029-1044, December.
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    Cited by:

    1. Savian, Fernando de Souza & Siluk, Julio Cezar Mairesse & Garlet, Taís Bisognin & do Nascimento, Felipe Moraes & Pinheiro, José Renes & Vale, Zita, 2021. "Non-technical losses: A systematic contemporary article review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    2. Xiaofeng Feng & Hengyu Hui & Ziyang Liang & Wenchong Guo & Huakun Que & Haoyang Feng & Yu Yao & Chengjin Ye & Yi Ding, 2020. "A Novel Electricity Theft Detection Scheme Based on Text Convolutional Neural Networks," Energies, MDPI, vol. 13(21), pages 1-17, November.
    3. Janicke, Lauren & Nock, Destenie & Surana, Kavita & Jordaan, Sarah M., 2023. "Air pollution co-benefits from strengthening electric transmission and distribution systems," Energy, Elsevier, vol. 269(C).
    4. Sampath Kumar Venkatachary & Jagdish Prasad & Ravi Samikannu & Annamalai Alagappan & Leo John Baptist & Raymon Antony Raj, 2020. "Macro Economics of Virtual Power Plant for Rural Areas of Botswana," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 196-207.
    5. de Oliveira Ventura, Lucas & Melo, Joel D. & Padilha-Feltrin, Antonio & Fernández-Gutiérrez, Juan Pablo & Sánchez Zuleta, Carmen C. & Piedrahita Escobar, Carlos César, 2020. "A new way for comparing solutions to non-technical electricity losses in South America," Utilities Policy, Elsevier, vol. 67(C).
    6. Stracqualursi, Erika & Rosato, Antonello & Di Lorenzo, Gianfranco & Panella, Massimo & Araneo, Rodolfo, 2023. "Systematic review of energy theft practices and autonomous detection through artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

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