An annual framework for clustering-based pricing for an electricity retailer
作者： N. Mahmoudi-Kohan , M. Parsa Moghaddam , M.K. Sheikh-El-Eslami
DOI: 10.1016/J.EPSR.2010.01.010
关键词: Profit (economics) 、 Open market operation 、 CVAR 、 Expected shortfall 、 Operations research 、 Optimization problem 、 Computer science 、 Tariffication 、 Cluster analysis 、 Load profile
摘要: In the competitive environment, it is necessary for a retailer to increase his/her profit as much possible. There are few researches focused on subjects related and retail market. addition, those have mostly participation of in wholesale order determine optimal selling price, knowledge how when consumers use electricity essential retailer. This type information can be found load profiles customers. this paper, an annual framework price offering by proposed which based clustering technique. For purpose, customers used their consumption patterns. Also, function defined objective optimization problem profile considering conditional value at risk (CVaR) modeling. new acceptance overcome drawbacks traditional ones. The mixed-integer nonlinear solved GAMS software.
uq.edu.au
core.ac.uk
elsevier.com参考文章(25)
R.F. Chang, C.N. Lu, Load profiling and its applications in power market 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491). ,vol. 2, pp. 974- 978 ,(2003) , 10.1109/PES.2003.1270442
R.F. Chang, C.N. Lu, Load profile assignment of low voltage customers for power retail market applications IEE Proceedings - Generation, Transmission and Distribution. ,vol. 150, pp. 263- 267 ,(2003) , 10.1049/IP-GTD:20030203
Chi-Keung Woo, Rouslan I. Karimov, Ira Horowitz, Managing electricity procurement cost and risk by a local distribution company Energy Policy. ,vol. 32, pp. 635- 645 ,(2004) , 10.1016/S0301-4215(02)00317-8
D. Gerbec, S. Gašperi, I. mon, F. Gubina, Determining the load profiles of consumers based on fuzzy logic and probability neural networks IEE Proceedings - Generation, Transmission and Distribution. ,vol. 151, pp. 395- 400 ,(2004) , 10.1049/IP-GTD:20040472
Enrico Carpaneto, Gianfranco Chicco, Roberto Napoli, Mircea Scutariu, Electricity customer classification using frequency–domain load pattern data International Journal of Electrical Power & Energy Systems. ,vol. 28, pp. 13- 20 ,(2006) , 10.1016/J.IJEPES.2005.08.017
A.R. Hatami, H. Seifi, M.K. Sheikh-El-Eslami, Optimal selling price and energy procurement strategies for a retailer in an electricity market Electric Power Systems Research. ,vol. 79, pp. 246- 254 ,(2009) , 10.1016/J.EPSR.2008.06.003
J.M. Yusta, I.J. Ramírez-Rosado, J.A. Dominguez-Navarro, J.M. Perez-Vidal, Optimal electricity price calculation model for retailers in a deregulated market International Journal of Electrical Power & Energy Systems. ,vol. 27, pp. 437- 447 ,(2005) , 10.1016/J.IJEPES.2005.03.002
Kenneth Rose, The State of Retail Electricity Markets in the U.S. The Electricity Journal. ,vol. 17, pp. 26- 36 ,(2004) , 10.1016/J.TEJ.2003.12.002
George J. Tsekouras, Nikos D. Hatziargyriou, Evangelos N. Dialynas, Two-Stage Pattern Recognition of Load Curves for Classification of Electricity Customers IEEE Transactions on Power Systems. ,vol. 22, pp. 1120- 1128 ,(2007) , 10.1109/TPWRS.2007.901287
G. Chicco, R. Napoli, F. Piglione, Application of clustering algorithms and self organising maps to classify electricity customers ieee powertech conference. ,vol. 1, pp. 373- 379 ,(2003) , 10.1109/PTC.2003.1304160