Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings, 2015.
Source : SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings, 2015, pp. 342-349
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84938807338&partnerID=40&md5=104fb712f6850e174d0bf38bfbb6861b
ISBN : 9789897581052
Keywords : Automatic meter reading, Automation, Coordinated actions, Crime, Electric power distribution, Electric power transmission networks, Electrical grids, Energy utilization, Functional requirement, Micro grid, Performance analysis, Power theft, Public utilities, Renewable energy integrations, Smart power grids, Wireless networks
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2015
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.
Cite this Research Publication : Arya Devi R. D. and Dr. Maneesha V. Ramesh, “Power theft detection in microgrids”, in SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings, 2015, pp. 342-349.