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Real-time pricing with ramping costs: A new approach to managing a steep change in electricity demand

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  • Tanaka, Makoto

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  • Tanaka, Makoto, 2006. "Real-time pricing with ramping costs: A new approach to managing a steep change in electricity demand," Energy Policy, Elsevier, vol. 34(18), pages 3634-3643, December.
    • Handle: RePEc:eee:enepol:v:34:y:2006:i:18:p:3634-3643
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    References listed on IDEAS

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    1. Roger E. Bohn & Michael C. Caramanis & Fred C. Schweppe, 1984. "Optimal Pricing in Electrical Networks over Space and Time," RAND Journal of Economics, The RAND Corporation, vol. 15(3), pages 360-376, Autumn.
    2. Burness, H Stuart & Patrick, Robert H, 1991. "Peak-Load Pricing with Continuous and Interdependent Demand," Journal of Regulatory Economics, Springer, vol. 3(1), pages 69-88, March.
    3. Green, Richard J, 1996. "Increasing Competition in the British Electricity Spot Market," Journal of Industrial Economics, Wiley Blackwell, vol. 44(2), pages 205-216, June.
    4. Robert E. Dansby, 1978. "Capacity Constrained Peak Load Pricing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(3), pages 387-398.
    5. 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.
    6. Ross Baldick & Ryan Grant & Edward Kahn, 2004. "Theory and Application of Linear Supply Function Equilibrium in Electricity Markets," Journal of Regulatory Economics, Springer, vol. 25(2), pages 143-167, March.
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    Cited by:

    1. Werner, Dan, 2014. "Electricity Market Price Volatility: The Importance of Ramping Costs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169619, Agricultural and Applied Economics Association.
    2. Chassin, David P. & Behboodi, Sahand & Djilali, Ned, 2018. "Optimal subhourly electricity resource dispatch under multiple price signals with high renewable generation availability," Applied Energy, Elsevier, vol. 213(C), pages 262-271.
    3. Moarefdoost, M. Mohsen & Lamadrid, Alberto J. & Zuluaga, Luis F., 2016. "A robust model for the ramp-constrained economic dispatch problem with uncertain renewable energy," Energy Economics, Elsevier, vol. 56(C), pages 310-325.
    4. Yu, Biying & Sun, Feihu & Chen, Chen & Fu, Guanpeng & Hu, Lin, 2022. "Power demand response in the context of smart home application," Energy, Elsevier, vol. 240(C).
    5. Heshmati, Almas, 2012. "Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market," IZA Discussion Papers 6637, Institute of Labor Economics (IZA).
    6. Naranjo Palacio, Santiago & Valentine, Keenan F. & Wong, Myra & Zhang, K. Max, 2014. "Reducing power system costs with thermal energy storage," Applied Energy, Elsevier, vol. 129(C), pages 228-237.
    7. Gürtler, Marc & Paulsen, Thomas, 2018. "The effect of wind and solar power forecasts on day-ahead and intraday electricity prices in Germany," Energy Economics, Elsevier, vol. 75(C), pages 150-162.
    8. Almas Heshmati, 2014. "Demand, Customer Base-Line And Demand Response In The Electricity Market: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 862-888, December.
    9. Keon Baek & Sehyun Kim & Eunjung Lee & Yongjun Cho & Jinho Kim, 2021. "Data-Driven Evaluation for Demand Flexibility of Segmented Electric Vehicle Chargers in the Korean Residential Sector," Energies, MDPI, vol. 14(4), pages 1-10, February.
    10. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "A review of residential demand response of smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 166-178.
    11. Eunjung Lee & Keon Baek & Jinho Kim, 2020. "Evaluation of Demand Response Potential Flexibility in the Industry Based on a Data-Driven Approach," Energies, MDPI, vol. 13(23), pages 1-12, December.

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