DOI QR코드

DOI QR Code

Demand Response Real Time Pricing Model for Smart Grid Considering Consumer Behavior and Price Elasticity

소비자 행동과 가격탄성을 고려한 스마트 그리드 수요반응 실시간 가격 결정 모델

  • Moon, Yongma (College of Business Administration, The University of Seoul)
  • 문용마 (서울시립대학교 경영대학 경영학부)
  • Received : 2013.04.05
  • Accepted : 2013.11.26
  • Published : 2014.03.31

Abstract

This paper proposes a real time pricing model for smart grid considering consumers' behavior, real time price elasticity, and exogenous price. Based on the proposed model, we found the weight of utility over cost is the most sensitive factor compared to other factors. Also, if the electricity price is set to be changed too sensitively to energy consumption, it is warned that real time pricing sometimes can cause increment of peak-time demand and volatility. Finally, real time pricing could be less efficient when the difference between the maximum and the minimum consumption level is small.

Keywords

References

  1. 고종민, 송재주, 김영일, 정남준, 김상규, "스마트그리드 기반의 실시간요금제 및 DR 운영시스템 구현", 전기학회논문지, 제59권, 제11호(2010), pp.1964-1970.
  2. 김발호, "주택용 소비자에 대한 동적요금제도의 수요반응 영향 분석", 2010 대한전기학회 제41회 하계학술대회(2010), pp.548-549.
  3. 김성진, "스마트그리드 제주실증단지, 구좌로는 테스트 한계", 제주의 소리(2011), http://www.jejusori.net/news/articleView.html?idxno=94611.
  4. 김슬기, 김종율, 전진홍, 김응상, "열병합발전 및 에너지저장 복합시스템 수용가의 에너지비용 절감효과 분석", 대한전기학회 학술대회 논문집(2012), pp.131-133.
  5. 김지희, 위영민, 주성관, 오재철, "스마트 그리드(Smart Grid) 하에서 수요반응(Demand Response)의 역할 및 필요성", 전기의세계, 제58권, 제12호(2009), pp.42-44.
  6. 김항석, 신현정, "준지도 학습 및 신경망 알고리즘을 이용한 전기가격 예측", 대한산업공학회지, 제39권, 제1호(2013), pp.30-45. https://doi.org/10.7232/JKIIE.2013.39.1.030
  7. 신수진, 이세훈, 권윤중, 차재강, 문일철 "가상전력 도매 시장의 최적 경매 가격 예측", 대한산업공학회지, 제39권, 제6호(2013), pp.562-576. https://doi.org/10.7232/JKIIE.2013.39.6.562
  8. 이유수, 김남일, 전용일, "전력산업에 대한 규제개혁의 가격 및 생산성 효과에 관한 실증적 연구", 에너지경제연구원, (2005), pp.1-111.
  9. 조경희, 이효근, 김슬기, 김응상, "건물수용가의 BESS 용량에 따른 전기사용요금 절감률 분석", 대한전기학회 학술대회 논문집, (2012), pp.126-128.
  10. 조은효, "LS산전/10년 앞선 스마트그리드 기술력자랑", 파이낸셜뉴스(2011), http://www.fnnews.com/view?ra=Sent0601m_View&corp=fnnews&arcid=0922477669&cDateYear=2011&cDateMonth=11&cDateDay=28.
  11. 지식경제부, "국가전력 소비지도", 지식경제부(2013), www.mke.go.kr.
  12. 지식경제부, "스마트 그리드 국가 로드맵", 지식경제부(2010), www.mke.go.kr.
  13. 최태섭, 고경록, 박성찬, 김형태, 윤용태, "스마트그리드 환경에서의 수용가 에너지 비용 최적화전략 연구", 대한전기학회 학술대회 논문집, (2012), pp.517-518.
  14. KPX 수요예측팀, "장단기 부하패턴 변화 분석", KPX(2008).
  15. Albadi, M.H. and E.F.El-Saadany, "A summary of demand response in electricity markets," Electric Power Systems Research, Vol.78, No.11(2008), pp.1989-1996. https://doi.org/10.1016/j.epsr.2008.04.002
  16. Bu, S., F.R. Yu, and P.X. Liu, "A game-theoretical decision-making scheme for electricity retailers in the smart grid with demand-side management," IEEE, (2011), pp.387-391.
  17. Chiang, W.K., D. Chhajed, and J.D. Hess, "Direct Marketing, Indirect Profits : A Strategic Analysis of Dual-Channel Supply-Chain Design," Management Science, Vol.49, No.1 (2003), pp.1-20. https://doi.org/10.1287/mnsc.49.1.1.12749
  18. Choi, J.Y., S.H. Rim, and J.K. Park, "Optimal real time pricing of real and reactive powers," Power Systems, IEEE Transactions on, Vol.13, No.4(1998), pp.1226-1231. https://doi.org/10.1109/59.736234
  19. Conejo, A.J., J.M. Morales, and L. Baringo, "Real-time demand response model," Smart Grid, IEEE Transactions on, Vol.1, No.3(2010), pp.236-242. https://doi.org/10.1109/TSG.2010.2078843
  20. Faria, P. and Z. Vale, "Demand response in electrical energy supply : An optimal real time pricing approach," Energy, Vol.36, No.8 (2011), pp.5374-5384. https://doi.org/10.1016/j.energy.2011.06.049
  21. Ferreira, R., L. Barroso, M. Carvalho, R. Kelman, P. Lino, and P. Valenzuela, "The role of correlated prices in demand response : A robust optimization approach," IEEE, (2011), pp.1-7.
  22. Hao, S. and A. Papalexopoulos, "Reactive power pricing and management," Power Systems, IEEE Transactions on, Vol.12, No.1(1997), pp.95-104. https://doi.org/10.1109/59.574928
  23. Mohsenian-Rad, A.H. and A. Leon-Garcia. "Optimal residential load control with price prediction in real-time electricity pricing environments," IEEE Transactions on Smart Grid, Vol.1, No.2(2010), pp.120-133. https://doi.org/10.1109/TSG.2010.2055903
  24. Mohsenian-Rad, A.H., V.W.S. Wong, J. Jatskevich, and R. Schober, "Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid," IEEE, (2010), pp.1-6.
  25. Momoh, J.A., "Smart grid design for efficient and flexible power networks operation and control," IEEE, (2009), pp.1-8.
  26. Moon, Y., T. Yao, and T.L. Friesz, "Dynamic Pricing and Inventory Policies : A Strategic Analysis of Dual Channel Supply Chain Design," Service Science, Vol.2, No.3(2010), pp.196-215. https://doi.org/10.1287/serv.2.3.196
  27. Moon, Y., T. Yao, and S. Park, "Price negotiation under uncertainty," International Journal of Production Economics, Vol.134, No.2(2011), pp.413-423. https://doi.org/10.1016/j.ijpe.2009.11.019
  28. Roozbehani, M., M. Dahleh, and S. Mitter, "Dynamic pricing and stabilization of supply and demand in modern electric power grids," IEEE, (2010), pp.543-548.
  29. Samadi, P., A. Mohsenian-Rad, R. Schober, V.W.S. Wong, and J. Jatskevich, "Optimal real-time pricing algorithm based on utility maximization for smart grid," IEEE, (2010), pp.415-420.
  30. Torriti, J., M.G. Hassan, and M. Leach, "Demand response experience in Europe : Policies, programmes and implementation," Energy, Vol.35, No.4(2010), pp.1575-1583. https://doi.org/10.1016/j.energy.2009.05.021
  31. Weare, C., "The California electricity crisis : causes and policy options," Public Policy Instit. of CA(2003).