Browse > Article
http://dx.doi.org/10.5370/KIEE.2011.60.6.1097

Modeling Demand Response by Using Registration and Participation Information of Demand Resources  

Kwag, Hyung-Geun (한양대 공대 전기공학과)
Kim, Jin-O (한국전기연구원 전력산업연구센터)
Shin, Dong-Joon (한양대 전기공학과)
Rhee, Chang-Ho (한국전기연구원 전력산업연구센터)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.60, no.6, 2011 , pp. 1097-1102 More about this Journal
Abstract
This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources. Specially assuming that ignore the loss in power system, they take a role as generation. This paper proposes how to evaluate demand resources' values. Case study shows that demand response operators schedule efficiently demand response program by using index of such as the registration information the participation information of demand resource.
Keywords
Demand response; Power system; Demand response scheduling; Power economics;
Citations & Related Records

Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 J.M.Yustaa, H.M.Khodrb, A.J.Urdanetab, "Optimal pricing of default customers in electrical distribution systems: Effect behavior performance of demand response models," Electric Power Systems Research, vol. 77, Apr, 2007, pp. 4486-558.
2 NYISO Day-Ahead Demand Reduction Program Manual Available:http://www.nyiso.com/public/markets_operations/market_data/demand_response
3 NYISO Emergency Demand Reduction Program Manual Available:http://www.nyiso.com/public/markets_operations/market_data/demand_response
4 Su Chua-Liang, D.Kirschen, "Quantifying the Effect of Demand Response on Electricity Markets," IEEE Trans. Power System, vol.24, pp.1199-1207, Aug. 2009   DOI   ScienceOn
5 S.Valero, M.Ortiz, C.Senabre, C.Alvarez, F.J.G.Franco, A.Gabaldon, "Methods for customer and demand response policies selection in new electricity markets," IET. Generation, Transmission & Distribution, vol.1, pp.104-110, Jan. 2007   DOI   ScienceOn
6 H.A. Aalami, M. Parsa Moghaddam, G.R. Yousefi, "Modeling and prioritizing demand response programs in power markets," Electric Power Systems Research, vol. 80, Apr, 2010, pp. 426-435.   DOI   ScienceOn
7 M.H. Albadi, E.F. El-Saadany, "A summary of demand response in electricity markets," Electric Power Systems Research, vol. 78, Nov, 2008, pp. 1989-1996.   DOI   ScienceOn
8 P.Wang, Y.Ding, Y.Xiao, "Technique to evaluate nodal reliability indices and nodal prices of restructured power systems," IEE Proceedings, Generation, Transmission and Distribution, vol.152, pp.390-396, May. 2005   DOI   ScienceOn
9 L.Goel, Wu Qiuwei, Wang Peng, "Reliability enhancement of a deregulated power system considering demand response," IEEE Meet. Power Engineering Society General Meeting, pp.6
10 E.Shayesteh, M.Eliasi, N.Mahmoudi-Kohan, M.P.Moghaddam, "Security-based demand response allocation," IEEE. Power & Energy Society General Meeting, pp.1-7, Jul. 2009
11 Daniel S. Kirschen, Goran Strbac, Pariya Cumperayot, and Dilemar de Paiva Mendes, "An Factoring the Elasticity of Demand in Electricity Prices," IEEE Trans. Power system, vol.15, pp.612-617, May. 2000   DOI   ScienceOn
12 E.Bompard, Y. Ma, R.Napoli, G.Abrate, "The Demand Elasticity Impacts on the Strategic Bidding Behavior of the Electricity Producers," IEEE Trans. Power system, vol.22, pp.188-197, Feb. 2007   DOI   ScienceOn