Power Theft Detection in Microgrids

Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh

Abstract

Theft of electricity amounts to 1.5% GDP, of most of the developing nations like India. Hence there is a great need to detect power thefts in developing nations. In this paper, we have proposed a wireless network based infrastructure for power theft detection which caters to other functional requirements of the microgrid such as renewable energy integration, automatic meter reading etc. Algorithm for power theft detection (PTDA) which is proposed in this paper, works in the distributed intelligent devices of the microgrid infrastructure for power theft detection. The coordinated action of intelligent devices with PTDA in the microgrid infrastructure enables not only the detection of power theft, but the localization of power theft in the micro-grid. PTDA increases the 1) cost of communication 2) energy consumption of intelligent devices 3) packet latency, if any critical data is piggy backed with power theft data in micro-grid. To solve these issues, we have proposed EPTDNA (Efficient Power Theft Data Networking Algorithm) which uses the frequency of power theft detection and average power draw for power theft, for the efficient routing of power theft. The performance analysis and results given in this paper shows how EPTDNA solves the major issues with PTDA.

References

  1. Amin, M., Wollenberg, S., “Toward a smart grid:Power delivery for the 21st century,”IEEE Power Energy Mag.,vol.3,no. 5, pp. 34-41, sept.-Oct.2005.
  2. Farhangi, H., “The Path of the Smart Grid”, IEEE Power &Energy Magazine, vol. 8, no. 1, Jan. 2010, pp. 18- 28.
  3. Hartono, B. S., Budiyanto, Y., Setiabudy, R., “Review of microgrid technology” International Conference on Quality in Research, June 2013, pp. 127-132, doi: 10.1109/QiR.2013.6632550.
  4. Myoung, N., Kim, Y., Lee, S., “The Design of Communication Infrastructures for Smart DAS and AMI”, International Conference on information and Communication Technology Convergence, 2010, pp.461-462, doi:10.1109/ICTC.2010.5674796.
  5. Mashima, D., Cardenas, A. A., ,“Evaluating Electricity Theft Detectors in Smart Grid networks”, RAID 2012, LNCS 7462, pp 210-229, 2012, Springer.
  6. Nikovski, D., Wang, Z., Esenther, A., Sun, H., Sugiura, K., Muso, T., Tsuru, K., “Smart Meter Data Analysis of Power Theft Detection”, Technical Report-TR2013- 065, Mitsubishi Electric Research Laboratories, July 2013.
  7. Depru, S,“ Modeling, Detection, and Prevention of Electricity Theft for Enhanced Performance and Security of Power Theft”, Doctoral Thesis, The University of Toledo, August 2012.
  8. Devidas, A. R., Ramesh, M. V., “Wireless Smart Grid Design for Monitoring and Optimizing Electric Transmission in India,” Fourth International Conference on Sensor Technologies and Applications, July 2010, pp. 637-640, doi: 10.1109/ SENSORCOMM.2010.100.
  9. Salinas, S., Li, M., Li, P., “Privacy-Preserving Energy Theft Detection in Smart Grids”, Nineth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, June 2012, pp. 605-613, doi: 10.1109/ SECON.2012.6275834.
  10. Weckx, S., Gonzalez, C., Tant, J., Rybel, T. D., Driesen, J., “Parameter Identification of Unknown Radial Grids for Theft Detection”, Third IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, October 2012, pp. 1-6, doi: 10.1109/ISGTEurope.2012.6465644.
  11. McLaughlin, S., Holbert, B., Zonouz, S., Berthier, R., “AMIDS: A Multi-Sensor Energy Theft Detection Framework for Advanced Metering Infrastructures”, Third IEEE International Conference on Smart Grid Communications, November 2012, pp. 354-359, doi: 10.1109/SmartGridComm.2012.6486009.
  12. Amarnath, R., Kalaivani, N., Priyanka, V., “Prevention of Power Blackout and Power Theft using IED”, IEEE Global Humanitarian Technology Conference, October 2013, pp. 82-86, doi: 10.1109/ GHTC.2013.6713659.
  13. Agarwal, A., Agarwal, M., Vyas, M., Sharma, R., “A Study of Zigbee Technology”, International Journal on Recent Innovation Trends in Computing and Communication, vol. 1, pp. 287-292, April 2013.
  14. Datar, R. V., “WiFi and WiMAX-break through in wireless access technologies”, IET International Conference on Wireless, Mobile and Multimedia Networks, pp-141-145, January 2008.
  15. Baker, S. D., King, S. W., Welch, J. P., “Performance measures of ISM-band and conventional telemetry”, IEEE Engineering in Medicine and Biology Magazine, vol. 23, pp. 27-36, May-June 2004.
  16. Wilkin, G. A., Huang, X., “K-Means Clustering Algorithms: Implementation and Comparison”, Second International Multi-Symposiums on Computer and Computational Sciences, August 2007, pp. 133- 136, doi: 10.1109/IMSCCS.2007.51.
Download


Paper Citation


in Harvard Style

Remanidevi Devidas A. and Vinodini Ramesh M. (2015). Power Theft Detection in Microgrids . In Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-105-2, pages 342-349. DOI: 10.5220/0005446703420349


in Bibtex Style

@conference{smartgreens15,
author={Aryadevi Remanidevi Devidas and Maneesha Vinodini Ramesh},
title={Power Theft Detection in Microgrids},
booktitle={Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2015},
pages={342-349},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005446703420349},
isbn={978-989-758-105-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Power Theft Detection in Microgrids
SN - 978-989-758-105-2
AU - Remanidevi Devidas A.
AU - Vinodini Ramesh M.
PY - 2015
SP - 342
EP - 349
DO - 10.5220/0005446703420349