A Cost Function Based Prioritization Method for Smart Grid Communication Network

In Smart Grids (SG) scenarios, the different nodes composing the system have to communicate to the Control Stations several type of information with different requirements. There are many communication technologies (CTs), with different Quality of Service characteristics, able to support the SG communication requirements. By focusing on wireless communications, it is possible to notice that spectrum is becoming a rare source due to its exponential increasing demand. Thus, resource allocation to support different types of SG nodes should be performed in order to maximize the resource efficiency and respect the SG requirements. Defining a cost function (CF) helps to accomplish this goal. To this aim, it is also needed to prioritize the different SG nodes based on their goals. By using the SG nodes prioritization and the CF, a priority table is defined in which the nodes and the CTs are put in order, based on their weights. The numerical results show that the proposed method allows selecting the best CT for each type of SG nodes.

[1]  Giulio Colavolpe,et al.  Improving the Spectral Efficiency of Nonlinear Satellite Systems through Time-Frequency Packing and Advanced Receiver Processing , 2013, IEEE Transactions on Communications.

[2]  Daniele Tarchi,et al.  Cognitive Radio based Smart Grid Networks , 2013, 2013 24th Tyrrhenian International Workshop on Digital Communications - Green ICT (TIWDC).

[3]  Daniele Tarchi,et al.  Smart meters density effects on the number of collectors in a Smart Grid , 2015, 2015 European Conference on Networks and Communications (EuCNC).

[4]  Peter Bach Andersen,et al.  Facilitating a Generic Communication Interface to Distributed Energy Resources: Mapping IEC 61850 to RESTful Services , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[5]  Giulio Colavolpe,et al.  Improving the Spectral Efficiency of Nonlinear Satellite Systems through Time-Frequency Packing and Advanced Processing , 2013, ArXiv.

[6]  Eric Peeters,et al.  Parallel FPGA implementation of RSA with residue number systems - can side-channel threats be avoided? , 2003, 2003 46th Midwest Symposium on Circuits and Systems.

[7]  Martin Sauter From GSM to LTE: An Introduction to Mobile Networks and Mobile Broadband , 2011 .

[8]  Sastri L. Kota,et al.  Performance Analysis of TCP over Satellite ATM , 2004 .

[9]  Sastri L. Kota,et al.  Analysis and Simulation of Delay and Buffer Requirements of satellite-ATM Networks for TCP/IP Traffic , 1998, ArXiv.

[10]  Afsana Nadia,et al.  Performance Analysis of GSM Coverage considering Spectral Efficiency, Interference and Cell Sectoring , 2013 .

[11]  Erik Dahlman,et al.  4G: LTE/LTE-Advanced for Mobile Broadband , 2011 .

[12]  N. R. Friedman Distributed Energy Resources Interconnection Systems: Technology Review and Research Needs , 2002 .