تعداد نشریات | 418 |
تعداد شمارهها | 10,003 |
تعداد مقالات | 83,617 |
تعداد مشاهده مقاله | 78,291,560 |
تعداد دریافت فایل اصل مقاله | 55,346,495 |
A New Real-Time Pricing Scheme Considering Smart Building Energy Management System | ||
International Journal of Smart Electrical Engineering | ||
مقاله 3، دوره 02، شماره 1، فروردین 2013، صفحه 17-22 اصل مقاله (269.79 K) | ||
نویسندگان | ||
Mohammad-Hossein Shariatkhah1؛ Mahmoud-Reza Haghifam2؛ Mohammad-Kazem Sheikh-El-Eslami2 | ||
1Tarbiat Modares University, Tehran, Iran | ||
2Tarbiat Modares University, Tehran, Iran. | ||
چکیده | ||
Real-time pricing schemes make the customers to feel the energy price volatility and improve their load profiles. However, these schemes have no significant effect on demand-side uncertainty reduction. In this paper, considering smart grid infrastructures and smart building Energy Management System (EMS), a new real-time pricing scheme is presented to reduce the uncertainty of demand-side. In the proposed method, EMS announces its electric demand during each period of next day to the retailer. The price of energy for the pre-specified amounts is day-ahead price, but any deviation from this amount is settled through spot market price will be determined several minutes before the corresponding period by retailer. Numerical results of an illustrative example are implemented to demonstrate how this scheme makes motivation in customers to reduce their demand uncertainties | ||
کلیدواژهها | ||
Real-Time Pricing, Energy Management System (EMS), Uncertainty؛ Retailer, Customer | ||
مراجع | ||
[1] D. Kirschen, G. Strbac , Fundamentals of Power System Economics, Hoboken, NJ: Wiley, 2004.
[2] M. Chick, “Le tarif vert retrouve,” The Marginal Cost Concept and the Pricing of Electricity in Britain and France 1945–1970, Energy Journal, vol. 23, no. 1, pp.97–116, 2002.
[3] K. KOK, “Dynamic Pricing as Control Mechanism,” in proc. IEEE Power Eng. Soc. Gen. Meet., July 2011, pp.1-8.
[4] M. Nikzad, B. Mozafari, A.M. Ranjbar, “Reliability Enhancement and Price Reduction of Restructured Power System with Probabilistic Day-Ahead Real Time Pricing Contract,” Int. Conf. Power Sys. Tech. (POWERCON), Oct. 2010.
[5] A. J. Conejo, J. M. Morales,L. Baringo, “Real-Time Demand Response Model,” IEEE Tran. Smart Grid, vol. 1, no. 3, Dec 2010, pp.236 – 242.
[6] E. Çelebi, J.D. Fuller, “A Model for Efficient Consumer Pricing Schemes in Electricity Markets” IEEE Trans. Power Sys., vol. 22, no. 1, Feb. 2007, pp.60-67.
[7] P. Joskow and J. Tirole, Retail Electricity Competition, 2004, NBER Working Paper No. 10473.
[8] Pengwei Du, Member, IEEE, and Ning Lu, “Appliance Commitment for Household Load Scheduling,” IEEE Trans. Smart Grid, vol. 2, no. 2, June 2011, pp.411 - 419.
[9] A.-H. Mohsenian-Rad, A. Leon-Garcia, “Optimal Residential Load Control with Price Prediction in Real-Time Electricity Pricing Environments,” IEEE Trans. Smart Grid, vol. 1, no. 2, Sep. 2010, pp.120 –133. | ||
آمار تعداد مشاهده مقاله: 2,161 تعداد دریافت فایل اصل مقاله: 1,124 |