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Empirical comparison of three models for determining market clearing prices in Turkish day-ahead electricity market

Author

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  • Gokhan Ceyhan
  • Nermin Elif Kurt
  • H. Bahadir Sahin
  • Kurc{s}ad Derinkuyu

Abstract

Bidders in day-ahead electricity markets want to sell/buy electricity when their bids generate positive surplus and not to take an action when the reverse holds. However, non-convexities in these markets cause conflicts between the actions that the bidders want to take and the actual market results. In this work, we investigate the non-convex market clearing problem of Turkish market operator and propose three different rule sets. The first rule set allows both rejection of bids with positive surplus and acceptance of bids with negative surplus. The second and the third sets only allow one of these conflicted cases. By using total surplus maximization as the objective, we formulate three models and statistically explore their performance with the real data taken from Turkish market operator.

Suggested Citation

  • Gokhan Ceyhan & Nermin Elif Kurt & H. Bahadir Sahin & Kurc{s}ad Derinkuyu, 2017. "Empirical comparison of three models for determining market clearing prices in Turkish day-ahead electricity market," Papers 1712.00235, arXiv.org.
    • Handle: RePEc:arx:papers:1712.00235
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    References listed on IDEAS

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    1. O'Neill, Richard P. & Sotkiewicz, Paul M. & Hobbs, Benjamin F. & Rothkopf, Michael H. & Stewart, William R., 2005. "Efficient market-clearing prices in markets with nonconvexities," European Journal of Operational Research, Elsevier, vol. 164(1), pages 269-285, July.
    2. Madani, Mehdi & Van Vyve, Mathieu, 2015. "Computationally efficient MIP formulation and algorithms for European day-ahead electricity market auctions," European Journal of Operational Research, Elsevier, vol. 242(2), pages 580-593.
    3. VAN VYVE, Mathieu, 2011. "Linear prices for non-convex electricity markets: models and algorithms," LIDAM Discussion Papers CORE 2011050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Mehdi MADANI & Mathieu VAN VYVE, 2015. "Computationally efficient MIP formulation and algorithms for European day-ahead electricity market auctions," LIDAM Reprints CORE 2808, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

    1. Hongze Li & Xuejie Wang & Fengyun Li & Yuwei Wang & Xinhua Yu, 2018. "A Robust Day-Ahead Electricity Market Clearing Model Considering Wind Power Penetration," Energies, MDPI, vol. 11(7), pages 1-18, July.

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