Secure and Reliable Power Consumption Monitoring in Untrustworthy Micro-grids

Micro-grid architectures based on renewable energy sources offer a viable solution to electricity provision in regions that are not connected to the national power grid or that are severely affected by load shedding. The limited power generated in micro-grids however makes monitoring power consumption an important consideration in guaranteeing efficient and fair energy sharing. A further caveat is that adversarial data tampering poses a major impediment to fair energy sharing on small scale energy systems, like micro-grids, and can result in a complete breakdown of the system. In this paper, we present an innovative approach to monitoring home power consumption in smart micro-grids. This is done by taking into account power consumption measurement on a per appliance and/or device basis. Our approach works by employing a distributed snapshot algorithm to asynchronously collect the power consumption data reported by the appliances and devices. In addition, we provide a characterization of noise that affects the quality of the data making it difficult to differentiate measurement errors and power fluctuations from deliberate attempts to misreport consumption.

[1]  S. Chowdhury,et al.  Microgrids and Active Distribution Networks , 2009 .

[2]  William H. Sanders,et al.  Distributed snapshots for mobile computing systems , 2004, Second IEEE Annual Conference on Pervasive Computing and Communications, 2004. Proceedings of the.

[3]  Giacomo Paci,et al.  Perpetual and low-cost power meter for monitoring residential and industrial appliances , 2013, 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[4]  Hussein T. Mouftah,et al.  Wireless Sensor Networks for smart grid applications , 2011, 2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC).

[5]  Michael Backes,et al.  Differentially Private Smart Metering with Battery Recharging , 2013, DPM/SETOP.

[6]  Lui Sha,et al.  Design and analysis of an MST-based topology control algorithm , 2005, IEEE Trans. Wirel. Commun..

[7]  Hejun Wu,et al.  RES: A Robust and Efficient Snapshot Algorithm for Wireless Sensor Networks , 2012, 2012 32nd International Conference on Distributed Computing Systems Workshops.

[8]  Leslie Lamport,et al.  Distributed snapshots: determining global states of distributed systems , 1985, TOCS.

[9]  Y. Ahmet Sekercioglu,et al.  A Low-Cost Flooding Algorithm for Wireless Sensor Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[10]  Zhengming Wang,et al.  Measurement data modeling and parameter estimation , 2011 .

[11]  Malabika Basu,et al.  Community Microgrid based on micro-wind generation system , 2013, 2013 48th International Universities' Power Engineering Conference (UPEC).

[12]  Gamze Uslu,et al.  DS+: Reliable Distributed Snapshot Algorithm for Wireless Sensor Networks , 2013, J. Comput. Networks Commun..

[13]  U. B. Desai,et al.  WSN based power monitoring in smart grids , 2011, 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[14]  Toby Considine,et al.  Understanding Microgrids as the Essential Architecture of Smart Energy , 2012 .

[15]  Antonio Alfredo Ferreira Loureiro,et al.  Using a distributed snapshot algorithm in wireless sensor networks , 2003, The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems, 2003. FTDCS 2003. Proceedings..

[16]  Ajay D. Kshemkalyani,et al.  An introduction to snapshot algorithms in distributed computing , 1995, Distributed Syst. Eng..

[17]  Ifan G. Hughes,et al.  Measurements and their Uncertainties: A practical guide to modern error analysis , 2010 .

[18]  Peng Ning,et al.  False data injection attacks against state estimation in electric power grids , 2011, TSEC.

[19]  Ten-Hwang Lai,et al.  On Distributed Snapshots , 1987, Inf. Process. Lett..

[20]  Thomas Hartkopf,et al.  Smarter Micro Grid for energy solution to rural Ethiopia , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[21]  Jinkuan Wang,et al.  Novel WSN-based residential energy management scheme in smart grid , 2012, 2012 IEEE International Conference on Information Science and Technology.

[22]  Adrian Segall,et al.  Distributed network protocols , 1983, IEEE Trans. Inf. Theory.