Assessing communications technology options for smart grid applications

Utilities are at a crossroads in addressing challenges to architect communication networks that can support a robust blend of smart grid applications while simultaneously meeting stringent financial and regulatory objectives. This paper discusses challenges in understanding the communication network choices when supporting applications such as Distribution Automation, Advanced Metering, Automated Demand Response and Electric Vehicle Charging. We also introduce the unique capabilities of a tool designed to evaluate different communications technology choices under specific application, network, topology, and geographical constraints.

[1]  Clark Hochgraf,et al.  Smart Grid Charger for Electric Vehicles Using Existing Cellular Networks and SMS Text Messages , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[2]  L.J. Greenstein,et al.  An empirically-based path loss model for wireless channels in suburban environments , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[3]  Martin Winter,et al.  Interconnections and Communications of Electric Vehicles and Smart Grids , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[4]  G. Deconinck,et al.  An evaluation of two-way communication means for advanced metering in Flanders (Belgium) , 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

[5]  C. Senabre,et al.  Methods for customer and demand response policies selection in new electricity markets , 2007 .

[6]  Mary Ann Piette,et al.  Architecture Concepts and Technical Issues for an Open, Interoperable Automated Demand Response Infrastructure , 2007 .

[7]  John D. McDonald,et al.  Electric Power Substations Engineering , 2007 .

[8]  Bernhard Walke,et al.  IEEE 802.11s: The WLAN Mesh Standard , 2010, IEEE Wireless Communications.

[9]  D.G. Hart,et al.  Using AMI to realize the Smart Grid , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[10]  Kathleen L. Spees,et al.  Impacts of Responsive Load in PJM: Load Shifting and Real Time Pricing , 2007 .

[11]  Bernhard Jansen,et al.  Architecture and Communication of an Electric Vehicle Virtual Power Plant , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[12]  Liu Jianming,et al.  Study on the application of advanced broadband wireless mobile communication technology in smart grid , 2010, 2010 International Conference on Power System Technology.

[13]  Anna Scaglione,et al.  For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid , 2010, Proceedings of the IEEE.

[14]  A. G. Longley,et al.  PREDICTION OF TROPOSPHERIC RADIO TRANSMISSION LOSS OVER IRREGULAR TERRAIN. A COMPUTER METHOD-1968 , 1968 .

[15]  D. Radford,et al.  Design considerations for implementation of large scale automatic meter reading systems , 1995 .

[16]  Q.B. Dam,et al.  Intelligent Demand Response Scheme for Customer Side Load Management , 2008, 2008 IEEE Energy 2030 Conference.

[17]  Ian F. Akyildiz,et al.  A survey on wireless mesh networks , 2005, IEEE Communications Magazine.

[18]  Andrew Wheeler,et al.  Commercial Applications of Wireless Sensor Networks Using ZigBee , 2007, IEEE Communications Magazine.