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Measuring the Benefits of Greater Spatial Granularity in Short-Term Pricing in Wholesale Electricity Markets

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  • Frank A. Wolak

Abstract

Hourly generation unit-level output levels, detailed information on the technological characteristics of generation units, and daily delivered natural gas prices to all generation units for the California wholesale electricity market before and after the implementation of locational marginal pricing are used to measure the impact of introducing greater spatial granularity in short-term energy pricing. The average hourly number of generation unit starts increases, but both the total hourly energy consumed and total hourly operating costs for all natural gas-fired generation units fall by more than 2 percent after the implementation of locational marginal pricing.

Suggested Citation

  • Frank A. Wolak, 2011. "Measuring the Benefits of Greater Spatial Granularity in Short-Term Pricing in Wholesale Electricity Markets," American Economic Review, American Economic Association, vol. 101(3), pages 247-252, May.
  • Handle: RePEc:aea:aecrev:v:101:y:2011:i:3:p:247-52
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    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/aer.101.3.247
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    References listed on IDEAS

    as
    1. Frank Wolak, 2000. "An Empirical Analysis of the Impact of Hedge Contracts on Bidding Behavior in a Competitive Electricity Market," International Economic Journal, Taylor & Francis Journals, vol. 14(2), pages 1-39.
    2. Catherine D. Wolfram, 1999. "Measuring Duopoly Power in the British Electricity Spot Market," American Economic Review, American Economic Association, vol. 89(4), pages 805-826, September.
    3. Frank A. Wolak, 2003. "Measuring Unilateral Market Power in Wholesale Electricity Markets: The California Market, 1998–2000," American Economic Review, American Economic Association, vol. 93(2), pages 425-430, May.
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    Cited by:

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    2. Eicke, Anselm & Schittekatte, Tim, 2022. "Fighting the wrong battle? A critical assessment of arguments against nodal electricity prices in the European debate," Energy Policy, Elsevier, vol. 170(C).
    3. Triolo, Ryan C. & Wolak, Frank A., 2022. "Quantifying the benefits of a nodal market design in the Texas electricity market," Energy Economics, Elsevier, vol. 112(C).
    4. Lundin, Erik, 2022. "Geographic price granularity and investments in wind power: Evidence from a Swedish electricity market splitting reform," Energy Economics, Elsevier, vol. 113(C).
    5. Michael G. Pollitt, 2023. "Locational Marginal Prices (LMPs) for electricity in Europe? The untold story," Working Papers EPRG2318, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    6. Karsten Neuhoff, Sophia Wolter and Sebastian Schwenen, 2016. "Power markets with Renewables: New perspectives for the European Target Model," The Energy Journal, International Association for Energy Economics, vol. 0(Bollino-M).
    7. Ruderer, Dominik & Zöttl, Gregor, 2018. "Transmission pricing and investment incentives," Utilities Policy, Elsevier, vol. 55(C), pages 14-30.
    8. Ruderer, D., 2012. "The Impact of Transmission Pricing in Network Industries," Cambridge Working Papers in Economics 1230, Faculty of Economics, University of Cambridge.
    9. Wang, Chang & Guo, Yue & Yang, Yu & Chen, Shiyi, 2022. "The environmental benefits of electricity industry restructuring in China: Ownership mixing vs. vertical unbundling," Energy Economics, Elsevier, vol. 115(C).
    10. Leslie, Gordon, 2018. "Tax induced emissions? Estimating short-run emission impacts from carbon taxation under different market structures," Journal of Public Economics, Elsevier, vol. 167(C), pages 220-239.
    11. Grimm, Veronika & Orlinskaya, Galina & Schewe, Lars & Schmidt, Martin & Zöttl, Gregor, 2021. "Optimal design of retailer-prosumer electricity tariffs using bilevel optimization," Omega, Elsevier, vol. 102(C).
    12. Neuhoff, Karsten & Richstein, Jörn C. & Kröger, Mats, 2023. "Reacting to changing paradigms: How and why to reform electricity markets," Energy Policy, Elsevier, vol. 180(C).
    13. Pietro Colella & Andrea Mazza & Ettore Bompard & Gianfranco Chicco & Angela Russo & Enrico Maria Carlini & Mauro Caprabianca & Federico Quaglia & Luca Luzi & Giuseppina Nuzzo, 2021. "Model-Based Identification of Alternative Bidding Zones: Applications of Clustering Algorithms with Topology Constraints," Energies, MDPI, vol. 14(10), pages 1-17, May.
    14. Karsten Neuhoff & Jörn C. Richstein & Mats Kröger, 2023. "Reacting to Changing Paradigms: How and Why to Reform Electricity Markets," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 127, number pbk189, January.
    15. Tangerås, Thomas & Wolak, Frank A., 2017. "The Competitive Effects of Linking Electricity Markets Across Space and Time," Working Paper Series 1184, Research Institute of Industrial Economics.
    16. John R. Birge & Ali Hortaçsu & J. Michael Pavlin, 2017. "Inverse Optimization for the Recovery of Market Structure from Market Outcomes: An Application to the MISO Electricity Market," Operations Research, INFORMS, vol. 65(4), pages 837-855, August.

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