Analysis of the Error Rate in Electrometers for Smart Grid Metering

The following article deals with the analysis of electrometers used for remote data acquisition in dependence on the protocols used and their error rate. The analysis is based on the real data from the specific sample of smart meters, which proportionally represent actual population on the device side. During the research, real communication of the smart grid control center with chosen meter types using different protocols for the given reading was surveyed. Types of the stored data were described, as well as the system of their collection and the analysis results from several viewpoints. The analysis focused on error rates of meters according to used transfer protocols VDEW, DLMS, and SCTM, and the measuring was underway continuously for a 4-month period. The results of the analysis, including detailed measuring process throughout the whole period, are important leads in AMR system development and its gradual integration into Smart Grid networks.

[1]  Chet Sandberg,et al.  The Role of Energy Storage in Development of Smart Grids , 2011, Proceedings of the IEEE.

[2]  G. Verbong,et al.  Smart grids or smart users? Involving users in developing a low carbon electricity economy , 2013 .

[3]  Ondrej Krejcar,et al.  Communications and Security Aspects of Smart Grid Networks Design , 2014, ICIST.

[4]  Sagar Naik,et al.  A Survey of Communication Protocols for Automatic Meter Reading Applications , 2011, IEEE Communications Surveys & Tutorials.

[5]  A. Geetha,et al.  Smart metering system , 2013, 2013 International Conference on Information Communication and Embedded Systems (ICICES).

[6]  M. Wolsink The research agenda on social acceptance of distributed generation in smart grids: Renewable as common pool resources , 2012 .

[7]  J. Horalek,et al.  Communication protocols in substation automation and IEC 61850 based proposal , 2013, 2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI).

[8]  Wen-Guey Tzeng,et al.  A Practical Smart Metering System Supporting Privacy Preserving Billing and Load Monitoring , 2012, ACNS.

[9]  V. H. Mok,et al.  Automatic power meter reading system using GSM network , 2007, 2007 International Power Engineering Conference (IPEC 2007).

[10]  George Danezis,et al.  Privacy-preserving smart metering , 2011, ISSE.