Browse > Article

Optimization of Home Loads scheduling in Demand Response  

Kim, Tae-Wan (연세대학교 무선네트워크 연구실)
Lee, Sung-Jin (연세대학교 무선네트워크 연구실)
Lee, Sang-Hoon (연세대학교 무선네트워크 연구실)
Abstract
In recent years, the smart grid technique for maximizing the energy efficiency of power networks has received a great deal of attentions. In particular, the Demand Response is a core technology differentiated from the present power network under the smart grid paradigm. To minimize the electric cost and maximize users' satisfaction, this paper proposes a unique scheduling algorithm derived by using optimization where the characteristics of various home appliances are taken into account. For this goal, we represent mathematical consumption patterns of the electric loads and propose the optimal scheduling scheme based on the importance factor of each device during one day. In the simulation results, we demonstrate the effectiveness of the proposed algorithm in the viewpoint of the minimal electric costs utilizing real statistical figures.
Keywords
Smart Grid; Demand Response; Smart meter; Optimization; Home loads scheduling;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M. H. Albadi, and E. F. El-Saadany, "Demand Response in Electricity Markets: An Overview," Power Engineering Society General Meeting, 2007. IEEE}, June. 2007.
2 US Department of Energy, "Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them," Report to the United States Congress, February 2006. Available online: http://eetd.lbl.gov
3 Michael Angelo A. Pedrasa, Ted D. Spooner, and Iain F. MacGill, "Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization," IEEE Trans. Power Systems}, Vol.24, No.3, pp.1173-1181, Aug. 2008.
4 Tsair-Fwu Lee, Ming-Yuan Cho, Ying-Chang Hsiao, Pei-Ju Chao, and Fu-Min Fang, "Optimization and Implementation of a Load Control Scheduler Using Relaxed Dynamic Programming for Large Air Conditioner Loads," IEEE Trans. Power Systems}, Vol.23, No.2, pp.691-702, May. 2008.   DOI
5 Grayson C. Heffner, Charles A. Goldman, and Mithra M. Moezzi, "Innovative approaches to verifying demand response of water heater load control," IEEE Trans. Power Delivery), Vol.21, No.1, pp.388-397, Jan. 2006.   DOI   ScienceOn
6 Badri Ramanathan, and Vijay Vittal, "A Framework for Evaluation of Advanced Direct Load Control With Minimum Disruption" IEEE Trans. Power Systems}, Vol.23, No.4, pp. 1681-1688, Nov. 2008.   DOI
7 Zigbee Alliance, ZigBee Smart Energy Profile Specification, Document number 075356rl5, ZigBee Profile: 0x0109, Revision 15, 2400 Camino Ramon, Suite 375, San Ramon, CA 94583, USA 2008.
8 Ye Huang, Amos Brocco, Pierre Kuonen, Mich'ele Courant, and B'eat Hirsbrunner, "SmartGRID: A Fully Decentralized Grid Scheduling Framework Supported by Swarm Intelligence," Grid and Cooperative Computing), Oct. 2008.
9 Massoud Amin, S. and Wollenberg, B.F., "Toward a Smart Grid : Power Delivery for the 21st Century," Power and Energy Magazine IEEE}, Vol.3, Issue.5, pp.34-41, Sep. 2005.