Mobile Sensing-Based Localization Method for Illegal Electricity Usage by Using Inspection Robot

  • Bat-Erdene Byambasuren
  • Mandakh Oyun-Erdene
  • Dong-Han Kim
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 253)


Detection and localization of illegal electricity usage are important issue for power delivery companies of power system. In order to detect illegal electricity usage, network current-based methods using smart meter were mostly used in previous researches. Two main disadvantages of these methods are that they are unable to detect the exact location of illegal electricity usage. The latter is all users must be disconnected from the power system to detect the location. In this research, inspection robot can be used for detecting of illegal electricity usage. The inspection robot can define location of illegal electricity usage on the air transmission line without disconnection. In addition, this method can indicate fault location of transmission line. This paper presents a novel mobile sensing-based localization method for illegal electricity usage by using inspection robot, and it is verified through simulation results.


Illegal electricity usage Localization method of illegal electricity usage Inspection robot Remote detection of illegal electricity usage 



This work was supported by a grant from the Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2012R1A1A2043822) and the Technology Innovation Program of the Knowledge economy (No. 10041834) funded by the Ministry of Knowledge Economy (MKE, Korea). In addition, it was supported by MKE (Ministry of Knowledge Economy), NIPA (National IT Industry Promotion Agency), and KOFST (The Korean Federation of Science and Technology Societies, 2012 Science and Technical Support specialists Supporters (H5701-12-1002).


  1. 1.
    Bat-Erdene B, Sang-Yep N, Dong-Han K (2011) A novel remote detection method of illegal electricity usage based on smart resistance. Futur Inf Technol Commun Comput Inf Sci 185:214–223Google Scholar
  2. 2.
    Cavdar H (2004) A solution to remote detection of illegal electricity usage via power line communications. IEEE Trans Power Deliv 19(4):1663–1667Google Scholar
  3. 3.
    Deaver BJ, Radtke WO (2008) Power theft detection system and method. United States Patent, May 2008, No. US 2008/0109387 A1Google Scholar
  4. 4.
    Pasdar A, Mirzakuchaki S (2007) A solution to remote detecting of illegal electricity usage based on smart metering. In: Proceedings of the IEEE international workshop soft computing applications, pp 163–167Google Scholar
  5. 5.
    Depuru S, Wang L, Devabhaktuni V, Gudi N (2010) Measures and setbacks for controlling electricity theft. In: North American Power symposium, 2010, pp 1–8Google Scholar
  6. 6.
    Fu S, Liang Z, Hou Z, Tan M (2008) Vision based navigation for power transmission line inspection robot. In: Proceedings of the 7th IEEE international conference on cognitive informatics, 2008, pp 411–417Google Scholar
  7. 7.
    Guo R, Han L, Sun Y, Wang M (2010) A mobile robot for inspection of substation equipments. In: Proceedings of the 1st international conference on applied robotics for the power industry, Oct 2010, pp 1–5Google Scholar
  8. 8.
    Katrasnik J, Pernus F, Likar B (2010) A survey of mobile robots for distribution power line inspection. IEEE Trans Power Deliv 25(1):485–493Google Scholar
  9. 9.
    Tobin NP, McCormack M, O’Loughlin E, Tobin K (2001) Remote current sensing on overhead power lines. In: CIRED2001, June 2001, Conference Publication No. 482Google Scholar
  10. 10.
    Durand M (1998) Remote current sensor. In: United States Patent, June 1998, No. 5767668Google Scholar
  11. 11.
    Magnus D (2012) Power grid integration using Kalman filtering. Thesis of Master, Uppsala University, UppsalaGoogle Scholar
  12. 12.
    Zoran V (2000) A tutorial an adaptive control: the self-tuning approach. University of Zagreb, CroatiaGoogle Scholar
  13. 13.
    Astrom KJ (1995) Adaptive control. Addison-Wesley, BostonGoogle Scholar
  14. 14.
    Jin N, Tang HJ, Liu W, Ye PS (2009) Analysis and control of buck-boost chopper type AC voltage regulator. In: IPEMC, pp 1019–1023Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Bat-Erdene Byambasuren
    • 1
  • Mandakh Oyun-Erdene
    • 1
  • Dong-Han Kim
    • 1
  1. 1.Department of Electrical EngieeringKyung Hee UniversitySeoul Korea

Personalised recommendations