Energy efficient communication networks design for demand response in smart grid

2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011

Volumn , Issue , 2011, Pages

  Zheng, Lei ^a   Parkinson, Simon ^a   Wang, Dan ^a   Cai, Lin ^a   Crawford, Curran ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Demand Response; Energy Efficiency; Network Topology Control; Packet Loss Ratio; Smart Grid

Indexed keywords

ANALYTICAL MODEL; COMMUNICATION TECHNIQUES; CONTROL REQUIREMENTS; CONTROL STRATEGIES; DEMAND RESPONSE; ELECTRICAL POWER; ENERGY EFFICIENT COMMUNICATIONS; KILLER-APPLICATION; MULTIHOP; NETWORK TOPOLOGY CONTROL; OVER CURRENT; PACKET-LOSS-RATIO; POWER GRID SYSTEM; REAL-TIME DR; RELIABLE COMMUNICATION; SMART GRID; WIRELESS COMMUNICATION NETWORK;

COMMUNICATION; ELECTRIC NETWORK TOPOLOGY; ENERGY EFFICIENCY; ENERGY UTILIZATION; MATHEMATICAL MODELS; PACKET LOSS; SIGNAL PROCESSING; TELECOMMUNICATION NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

SMART POWER GRIDS;

EID: 84555194990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCSP.2011.6096965     Document Type: Conference Paper

References (13)

1. S. Parkinson, D. Wang, C. Crawford, and N. Djilali. Comfortconstrained distributed heat pump management. Accepted: Proc. of IEEE ICSGCE 2011, 2011.
2. M. Ilic, Y.V. Makarov, and D.L. Hawkins. Operations of electric power systems with high penetration of wind power: Risks and possible solutions. Proc. of IEEE PES General Meeting, pages 1-4, 2007.
3. H. Farhangi. The path of the smart grid. Power and Energy Magazine, IEEE, 8(1):18-28, january-february 2010.
4. G. Strbac. Demand side management: Benefits and challenges. Energy Policy, 36(12):4419-4426, 2008.
5. J. Kondoh, N. Lu, and D.J. Hammerstrom. An evaluation of the water heater load potential for providing regulation service. IEEE Trans. on Power Syst., 26(3):1309-1316, 2010.
6. D. Callaway. Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy. Energ. Convers. and Manag., 50(9):1389-1400, 2009.
7. A. Kashyap and D. Callaway. Controlling distributed energy constrained resources for power system ancillary services. In Proc. of IEEE PMAPS, pages 407-412, 2010.
8. D. Niyato, P. Wang, E. Hossain, and Z. Han. Impact of packet loss on power demand estimation and power supply cost in smart grid. In Proc. of IEEE WCNC, pages 6-10, 2011.
9. Ieee standard for information technology- telecommunications and information exchange between systems- local and metropolitan area networks- specific requirements part 15.4: Wireless medium access control (mac) and physical layer (phy) specifications for low-rate wireless personal area networks (wpans). IEEE Std 802.15.4-2006 (Revision of IEEE Std 802.15.4-2003), pages 1 -305, 2006.
10. E. Hirst and B. Kirby. Separating and measuring the regulation and load-following ancillary services. Util. Policy, 8:75-81, 1999.
11. Loukas Lazos and Radha Poovendran. Serloc: Robust localization for wireless sensor networks. ACM Trans. Sen. Netw., 1:73-100, August 2005.
12. Ya Xu, John Heidemann, and Deborah Estrin. Geography-informed energy conservation for ad hoc routing. In ACM MOBICOM, pages 70-84, 2001.
13. Yanyan Zhuang, Jianping Pan, and Lin Cai. Minimizing energy consumption with probabilistic distance models in wireless sensor networks. In INFOCOM, 2010 Proceedings IEEE, pages 1 -9, march 2010.