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Energy and reserve co-optimisation – reserve availability, lost opportunity and uplift compensation cost

Energy and reserve co-optimisation – reserve availability, lost opportunity and uplift compensation cost

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Ancillary services used for active power balancing are called balancing services or operating reserves and their provision is vital for maintaining power system frequency at the nominal value. In a deregulated environment, where generation is unbundled from transmission and distribution operations, independently owned generating companies may elect to provide operating reserves. However, it is not easy to calculate the exact cost of reserve provision and, therefore, bid for it accurately. Although the cost efficiency of reserve provision can be improved by co-optimising energy and reserve markets, generating companies can still encounter monetary losses caused by the provision of reserve. Currently, these losses are compensated based on ex-post calculations. Hence, current energy and reserve prices do not adequately factor in the ex-post compensation caused by reserve provision. This study proposes an energy and reserve co-optimisation with an explicit consideration of two compensation mechanisms, i.e. lost opportunity and uplift payments. The problem is structured as a bilevel model. The upper level is a mixed-integer unit commitment problem and the lower level is a continuous economic dispatch problem. The case study shows that the proposed model increases market efficiency.

References

    1. 1)
      • 1. Galiana, F.D., Bouffard, F., Arroyo, J.M., et al: ‘Scheduling and pricing of coupled energy and primary, secondary, and tertiary reserves’, Proc. IEEE, 2005, 93, (11), pp. 19701983.
    2. 2)
      • 2. Rebennack, S., Pardalos, P.M., Pereira, M.V., et al: ‘Handbook of power systems I’ (Springer, Berlin, 2010).
    3. 3)
      • 3. FERC.: ‘Energy primer’, Washington DC, 2015.
    4. 4)
      • 4. Pavić, I., Capuder, T., Kuzle, I.: ‘Value of flexible electric vehicles in providing spinning reserve services’, Appl. Energy, 2015, 157, pp. 6074.
    5. 5)
      • 5. Pavić, I., Capuder, T., Kuzle, I.: ‘Low carbon technologies as providers of operational flexibility in future power systems’, Appl. Energy, 2016, 168, pp. 724738.
    6. 6)
      • 6. Ellison, J.F., Tesfatsion, L.S., Loose, V.W.: ‘A survey of operating reserve markets in U.S. ISO/RTO-managed electric energy regions’, Energy Economics, 2012.
    7. 7)
      • 7. Zhou, Z., Levin, T., Conzelmann, G.: ‘Survey of U. S. Ancillary services markets’, Argonne National Laboratory, Chicago, 2016.
    8. 8)
      • 8. EI-Fact Sheet 2015–01.: ‘The current electricity market design in Europe’, KU Leuven Energy Institute, 2015.
    9. 9)
      • 9. Hogan, W.W.: ‘Electricity market design and efficient pricing: applications for New England and beyond’, Electricity Journal, 2014, 27, (7), pp. 2349.
    10. 10)
      • 10. Hogan, W.W.: ‘Electricity scarcity pricing through operating reserves’, Econ. Energ. Environ. Pol., 2013, 2, (2), pp. 6586.
    11. 11)
      • 11. Patton, D.B., LeeVanSchaick, P., Chen, J.: ‘2015 assessment of the ISO New England electricity markets’, Potomac Econ., 2016.
    12. 12)
      • 12. Hummon, M., Denholm, P., Jorgenson, J., et al: ‘Fundamental drivers of the cost and price of operating reserves’, U.S. Department of Energy Office of Scientific and Technical Information, 2013, available at: https://www.osti.gov/biblio/1089587.
    13. 13)
      • 13. PJM.: ‘A review of generation compensation and cost elements in the PJM markets’, PJM, 2009.
    14. 14)
      • 14. Al-abdullah, Y.M., Member, S., Abdi-khorsand, M., et al: ‘The role of out-of-market corrections in day-ahead scheduling’, IEEE Trans. Power Syst., 2015, 30, (4), pp. 19371946.
    15. 15)
      • 15. Gan, D., Litvinov, E.: ‘Energy and reserve market designs with explicit consideration to lost opportunity costs’, IEEE Trans. Power Syst., 2003, 18, (1), pp. 5359.
    16. 16)
      • 16. Gribik, P.R., Hogan, W.W., Pope, S.L.: ‘Market-clearing electricity prices and energy uplift’, [Online] Available at: www.lmpmarketdesign.com/papers/Gribik_Hogan_Pope.pdf, 2007.
    17. 17)
      • 17. Schiro, D.A., Zheng, T., Zhao, F., et al: ‘Convex hull pricing in electricity markets: formulation, analysis, and implementation challenges’, IEEE Trans. Power Syst., 2016, 31, (5), pp. 40684075.
    18. 18)
      • 18. Hua, B., Baldick, R.: ‘A convex primal formulation for convex hull pricing’, IEEE Trans. Power Syst., 2017, 32, (5), pp. 38143823.
    19. 19)
      • 19. Federal Energy Regulatory Commission: ‘Uplift in RTO and ISO Markets’, 2014.
    20. 20)
      • 20. Pandžić, H., Qiu, T., Kirschen, D.S.: ‘Comparison of state-of-the-art transmission constrained unit commitment formulations’. Proc. IEEE Power and Energy Society General Meeting, Vancouver, BC, Canada, 2013, pp. 15.
    21. 21)
      • 21. Fortuny-Amat, J., McCarl, B.: ‘A representation and economic interpretation of a two-level programming problem’, J. Oper. Res. Soc., 1981, 32, pp. 783792.
    22. 22)
      • 22. Eastern Wind Dataset’, NREL, Golden, CO, USA, [Online]. Available at: www.nrel.gov/electricity/transmission/ eastern_wind_methodology.html, 2012.
    23. 23)
      • 23. Krishnamurthy, D., Member, S., Li, W., et al: ‘An 8-zone test system based on ISO New England data: development and application’, IEEE Trans. Power Syst., 2016, 31, (1), pp. 234246.
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