期刊文献+

OPTIMAL PRICING STRATEGY TO REDUCE FUEL CONSUMPTION IN ELECTRICITY GENERATION WITH SMART METER

OPTIMAL PRICING STRATEGY TO REDUCE FUEL CONSUMPTION IN ELECTRICITY GENERATION WITH SMART METER
原文传递
导出
摘要 It has been widely recognized that the efficiency of a thermal power system can be improved by technological advancement of electricity generation and manipulation of electricity consumption. The smart meter enables two-way communication between the customers and the electricity generation system. The electricity generation system uses price incentive (i.e. a higher price in the peak period and a lower price in the off-peak period) to shift part of demands from peak to off-peak period under the smart grid environment. Given the fact that fuel consumption in each period is a strictly increasing convex function of power output, we propose two-period and multi-period pricing strategies, and study the effect of different pricing strategies on reducing fuel consumption. It has been widely recognized that the efficiency of a thermal power system can be improved by technological advancement of electricity generation and manipulation of electricity consumption. The smart meter enables two-way communication between the customers and the electricity generation system. The electricity generation system uses price incentive (i.e. a higher price in the peak period and a lower price in the off-peak period) to shift part of demands from peak to off-peak period under the smart grid environment. Given the fact that fuel consumption in each period is a strictly increasing convex function of power output, we propose two-period and multi-period pricing strategies, and study the effect of different pricing strategies on reducing fuel consumption.
出处 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2015年第1期81-106,共26页 系统科学与系统工程学报(英文版)
基金 supported by NSFC projects under Grant Nos.71090401/ 71090400, 71320107004 and 71371176
关键词 Pricing strategy smart meter energy consumption convex programming Pricing strategy, smart meter, energy consumption,convex programming
  • 相关文献

参考文献41

  • 1Acton, J.P. & Mitchell, B.M. (1981). The Effect of Time-of-Use Rates: Facts vs. Opinions. RAND Corporation, Santa Monica, CA 90406: RAND Report. Available at http:// www.rand.org/pubs/reports/R2760.html.
  • 2Agrawal, V. & Ferguson, M. (2007). Optimal customized pricing in competitive settings. Journal of Revenue and Pricing Management 6: 212-228.
  • 3Baladi, S.M., Herriges, J.A. & Sweeney ,T.J. (1998). Residential response to voluntary time-of-use electricity rates.Resource and Energy Economics, 20(3): 225-244.
  • 4Beckman, J.J.(1958). Decision and team problems in airline reservation. Econometrica, 26:134-145.
  • 5Boisvert, R., Cappers, P., Neenan, B & Scott, B. (2004). Industrial and Commercial Customer Response to Real Time Electricity Prices. Neenan Associates.
  • 6Borenstein, S. & Holland, S.P. (2003). Investment Efficiency in Competitive Electricity Markets with and without Time-Varying Retail Prices.Working Paper, Center for the Study of Energy Markets.
  • 7Caves, D.W Econometric & Christensen, L.R. (1980) analysis of residential time-of-use electricity pricing experiments Journal of Econometrics, 14(3): 287-306.
  • 8Centerpoint Energy. (2009a). Learn when you get your smart meter. Available at http://www, centerpointenergy.com.
  • 9Centerpoint Energy. (2009b). CenterPoint energy to receive S200 million federal stimulus grant to accelerate current smart meter project and begin building intelligent grid. Available at http://www.centerpoint- energy.com.
  • 10Chao, H. (1983). Peak-load pricing and capacity planning with demand and supply uncertainty. Bell Journal of Econornics, 14(1): 170-90.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部