DOI QR코드

DOI QR Code

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

수요자원의 등록 정보 및 참여 정보를 이용한 수요 반응 모델링

  • 곽형근 (한양대 공대 전기공학과) ;
  • 김진오 (한국전기연구원 전력산업연구센터) ;
  • 신동준 (한양대 전기공학과) ;
  • 이창호 (한국전기연구원 전력산업연구센터)
  • Received : 2011.01.05
  • Accepted : 2011.04.27
  • Published : 2011.06.01

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.

Acknowledgement

Supported by : 한국에너지기술평가원(KETEP)

References

  1. 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. https://doi.org/10.1016/j.epsr.2008.04.002
  2. 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 https://doi.org/10.1109/59.867149
  3. 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 https://doi.org/10.1109/TPWRS.2006.889134
  4. 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 https://doi.org/10.1049/ip-gtd:20041250
  5. 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
  6. 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
  7. 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 https://doi.org/10.1109/TPWRS.2009.2023259
  8. 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 https://doi.org/10.1049/iet-gtd:20060183
  9. 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. https://doi.org/10.1016/j.epsr.2009.10.007
  10. 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.
  11. NYISO Day-Ahead Demand Reduction Program Manual Available:http://www.nyiso.com/public/markets_operations/market_data/demand_response
  12. NYISO Emergency Demand Reduction Program Manual Available:http://www.nyiso.com/public/markets_operations/market_data/demand_response