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Electricity time-of-use tariff with consumer behavior consideration

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  • Yang, Liu
  • Dong, Ciwei
  • Wan, C.L. Johnny
  • Ng, Chi To

Abstract

This paper investigates an electricity time-of-use (TOU) tariff problem with the consideration of consumer behavior. Under the TOU tariff, we consider two periods: the peak and base periods. A two-level model is established to solve the TOU tariff problem: in the upper level, the producer determines the TOU tariff with the consideration of consumer behavior; in the lower level, the consumers respond to the TOU tariff through shifting some electricity consumption in the peak period to the base period. Using the traditional flat-rate (FR) tariff as a baseline, we verify the conditions under which the producer has incentives to adopt the TOU tariff. With the adoption of a general consumer transfer cost, we solve for the optimal TOU tariff under different situations. Our results demonstrate that proper adoption of the TOU tariff can create a win–win situation for both the producer and the consumers: the producer can increase its profit and the consumers can save their electricity cost. We further evaluate the effectiveness of the TOU tariff in terms of the peak demand reduction. Using a quadratic transfer cost, we obtain some managerial insights into the TOU tariff problem, and illustrate that the TOU tariff is always beneficial to the producer and the consumers under the quadratic transfer cost.

Suggested Citation

  • Yang, Liu & Dong, Ciwei & Wan, C.L. Johnny & Ng, Chi To, 2013. "Electricity time-of-use tariff with consumer behavior consideration," International Journal of Production Economics, Elsevier, vol. 146(2), pages 402-410.
  • Handle: RePEc:eee:proeco:v:146:y:2013:i:2:p:402-410
    DOI: 10.1016/j.ijpe.2013.03.006
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    as
    1. Sherman, Roger & Visscher, Michael, 1978. "Second Best Pricing with Stochastic Demand," American Economic Review, American Economic Association, vol. 68(1), pages 41-53, March.
    2. Faruqui, Ahmad & Harris, Dan & Hledik, Ryan, 2010. "Unlocking the [euro]53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment," Energy Policy, Elsevier, vol. 38(10), pages 6222-6231, October.
    3. Alfredo Garcia & Enrique Campos-Nañez & James Reitzes, 2005. "Dynamic Pricing and Learning in Electricity Markets," Operations Research, INFORMS, vol. 53(2), pages 231-241, April.
    4. Chao, Hung-po, 2010. "Price-Responsive Demand Management for a Smart Grid World," The Electricity Journal, Elsevier, vol. 23(1), pages 7-20, January.
    5. Faruqui, Ahmad, 2010. "The Ethics of Dynamic Pricing," The Electricity Journal, Elsevier, vol. 23(6), pages 13-27, July.
    6. Albert Banal-Estañol & Augusto Rupérez Micola, 2009. "Composition of Electricity Generation Portfolios, Pivotal Dynamics, and Market Prices," Management Science, INFORMS, vol. 55(11), pages 1813-1831, November.
    7. Hung-po Chao, 1983. "Peak Load Pricing and Capacity Planning with Demand and Supply Uncertainty," Bell Journal of Economics, The RAND Corporation, vol. 14(1), pages 179-190, Spring.
    8. Severin Borenstein & Stephen Holland, 2005. "On the Efficiency of Competitive Electricity Markets with Time-Invariant Retail Prices," RAND Journal of Economics, The RAND Corporation, vol. 36(3), pages 469-493, Autumn.
    9. Carlton, Dennis W, 1977. "Peak Load Pricing with Stochastic Demand," American Economic Review, American Economic Association, vol. 67(5), pages 1006-1010, December.
    10. Kleindorfer, Paul R & Fernando, Chitru S, 1993. "Peak-Load Pricing and Reliability under Uncertainty," Journal of Regulatory Economics, Springer, vol. 5(1), pages 5-23, March.
    11. Coate, Stephen & Panzar, John C, 1989. "Public Utility Pricing and Capacity Choice under Risk: A Rational Expectations Approach," Journal of Regulatory Economics, Springer, vol. 1(4), pages 305-317, December.
    12. Brown, Gardner, Jr & Johnson, M Bruce, 1969. "Public Utility Pricing and Output under Risk," American Economic Review, American Economic Association, vol. 59(1), pages 119-128, March.
    13. Hogan, William W., 2010. "Fairness and Dynamic Pricing: Comments," The Electricity Journal, Elsevier, vol. 23(6), pages 28-35, July.
    14. Crew, Michael A & Fernando, Chitru S & Kleindorfer, Paul R, 1995. "The Theory of Peak-Load Pricing: A Survey," Journal of Regulatory Economics, Springer, vol. 8(3), pages 215-248, November.
    15. F J Nogales & A J Conejo, 2006. "Electricity price forecasting through transfer function models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 350-356, April.
    16. Chao, Hung-po, 2011. "Efficient pricing and investment in electricity markets with intermittent resources," Energy Policy, Elsevier, vol. 39(7), pages 3945-3953, July.
    17. Meyer, Robert A, 1975. "Monopoly Pricing and Capacity Choice under Uncertainty," American Economic Review, American Economic Association, vol. 65(3), pages 326-337, June.
    18. Yishai Spector & Asher Tishler & Yinyu Ye, 1995. "Minimal Adjustment Costs and the Optimal Choice of Inputs Under Time-of-Use Electricity Rates," Management Science, INFORMS, vol. 41(10), pages 1679-1692, October.
    19. Faruqui, Ahmad & George, Stephen, 2005. "Quantifying Customer Response to Dynamic Pricing," The Electricity Journal, Elsevier, vol. 18(4), pages 53-63, May.
    20. Derek W. Bunn & Fernando S. Oliveira, 2008. "Modeling the Impact of Market Interventions on the Strategic Evolution of Electricity Markets," Operations Research, INFORMS, vol. 56(5), pages 1116-1130, October.
    21. Doucet, Joseph A & Roland, Michel, 1993. "Efficient Self-Rationing of Electricity Revisited," Journal of Regulatory Economics, Springer, vol. 5(1), pages 91-100, March.
    22. Hung-po Chao, 2011. "Demand response in wholesale electricity markets: the choice of customer baseline," Journal of Regulatory Economics, Springer, vol. 39(1), pages 68-88, February.
    23. Herter, Karen & McAuliffe, Patrick & Rosenfeld, Arthur, 2007. "An exploratory analysis of California residential customer response to critical peak pricing of electricity," Energy, Elsevier, vol. 32(1), pages 25-34.
    24. Herter, Karen, 2007. "Residential implementation of critical-peak pricing of electricity," Energy Policy, Elsevier, vol. 35(4), pages 2121-2130, April.
    25. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
    26. Alexander, Barbara R., 2010. "Dynamic Pricing? Not So Fast! A Residential Consumer Perspective," The Electricity Journal, Elsevier, vol. 23(6), pages 39-49, July.
    Full references (including those not matched with items on IDEAS)

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