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Modelling Dynamic Constraints in Electricity Markets and the Costs of Uncertain Wind Output

Author

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  • Müsgens, F.
  • Neuhoff, K.

Abstract

Building on models that represent inter-temporal constraints in the optimal production decisions for electricity generation, the paper analysis the resulting costs and their impact on prices during the day. We linearise the unit commitment problem to facilitate the interpretation of shadow prices. Analytic research gives insights for a system with one technology and numeric implementation provides results for the German power system. The model is expanded to a stochastic optimisation with recourse. The model is used to calculate the cost of wind uncertainty and the value of updating wind forecasts.

Suggested Citation

  • Müsgens, F. & Neuhoff, K., 2006. "Modelling Dynamic Constraints in Electricity Markets and the Costs of Uncertain Wind Output," Cambridge Working Papers in Economics 0610, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:0610 Note: IO
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    File URL: http://www.electricitypolicy.org.uk/pubs/wp/eprg0514.pdf
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    1. Gong, Xiaodong & Van Soest, Arthur & Villagomez, Elizabeth, 2004. "Mobility in the Urban Labor Market: A Panel Data Analysis for Mexico," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 1-36, October.
    2. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    3. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 129-137.
    5. Heckman, James J, 1993. "What Has Been Learned about Labor Supply in the Past Twenty Years?," American Economic Review, American Economic Association, pages 116-121.
    6. Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-1149, September.
    7. R. E. De Hoyos, 2005. "SVYSELMLOG: Stata module to compute selectivity adjustment based on the multinomial logit for survey design," Statistical Software Components S454901, Boston College Department of Economics, revised 21 Sep 2005.
    8. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    9. Marcouiller, Douglas & Ruiz de Castilla, Veronica & Woodruff, Christopher, 1997. "Formal Measures of the Informal-Sector Wage Gap in Mexico, El Salvador, and Peru," Economic Development and Cultural Change, University of Chicago Press, vol. 45(2), pages 367-392, January.
    10. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    11. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, pages 313-318.
    12. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, pages 303-328.
    13. De Hoyos, Rafael E., 2005. "The Microeconomics of Inequality, Poverty and Market Liberalizing Reforms," WIDER Working Paper Series 063, World Institute for Development Economic Research (UNU-WIDER).
    14. Maloney, William F, 1999. "Does Informality Imply Segmentation in Urban Labor Markets? Evidence from Sectoral Transitions in Mexico," World Bank Economic Review, World Bank Group, vol. 13(2), pages 275-302, May.
    15. Heckman, James J & Sedlacek, Guilherme, 1985. "Heterogeneity, Aggregation, and Market Wage Functions: An Empirical Model of Self-selection in the Labor Market," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1077-1125, December.
    16. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, December.
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    Cited by:

    1. Green, Richard & Vasilakos, Nicholas, 2010. "Market behaviour with large amounts of intermittent generation," Energy Policy, Elsevier, vol. 38(7), pages 3211-3220, July.
    2. Hiroux, C. & Saguan, M., 2010. "Large-scale wind power in European electricity markets: Time for revisiting support schemes and market designs?," Energy Policy, Elsevier, vol. 38(7), pages 3135-3145, July.
    3. Paulus, Moritz & Borggrefe, Frieder, 2011. "The potential of demand-side management in energy-intensive industries for electricity markets in Germany," Applied Energy, Elsevier, pages 432-441.
    4. Corsatea, Teodora Diana & Giaccaria, Sergio & Covrig, Catalin-Felix & Zaccarelli, Nicola & Ardelean, Mircea, 2016. "RES diffusion and R&D investments in the flexibilisation of the European electricity networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1069-1082.
    5. Ambec, Stefan & Crampes, Claude, 2012. "Electricity provision with intermittent sources of energy," Resource and Energy Economics, Elsevier, vol. 34(3), pages 319-336.

    More about this item

    Keywords

    Electricity Markets; Energy Modelling; Optimisation Models;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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