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Long-term Unit Commitment optimisation for large power systems: unit decommitment versus advanced priority listing

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  • Voorspools, Kris R.
  • D'haeseleer, William D.

Abstract

Unit Commitment (UC) is a term used for the strategic choice whereby the available power plants have to be on-line every time. Most UC models described in the literature are specifically designed for the power utilities. They are typical short-term models for relatively small power-systems. Apart from practical use in the utilities themselves, UC is also implemented in the broader context of electricity-generation modelling. For these purposes, however, the power systems can be much larger and the time scale more extended. Since UC is only a minor part of these models, the calculation time dedicated to UC has to be limited, thereby possibly sacrificing somewhat on accuracy. Two methods are compared. Unit Decommitment (UD), which is considered completely accurate and Advanced Priority Listing, which is less accurate but also less complicated. Simulations demonstrate that UD is slightly more accurate (0.03-0.6%), but takes much more calculation time (5-10 times more) than Advanced Priority Listing.

Suggested Citation

  • Voorspools, Kris R. & D'haeseleer, William D., 2003. "Long-term Unit Commitment optimisation for large power systems: unit decommitment versus advanced priority listing," Applied Energy, Elsevier, vol. 76(1-3), pages 157-167, September.
    • Handle: RePEc:eee:appene:v:76:y:2003:i:1-3:p:157-167
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    References listed on IDEAS

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    1. C. L. Tseng & C. A. Li & S. S. Oren, 2000. "Solving the Unit Commitment Problem by a Unit Decommitment Method," Journal of Optimization Theory and Applications, Springer, vol. 105(3), pages 707-730, June.
    2. Voorspools, Kris R & D'haeseleer, William D, 2000. "The influence of the instantaneous fuel mix for electricity generation on the corresponding emissions," Energy, Elsevier, vol. 25(11), pages 1119-1138.
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    1. Delarue, E.D. & Ellerman, A.D. & D'haeseleer, W.D., 2010. "Robust MACCs? The topography of abatement by fuel switching in the European power sector," Energy, Elsevier, vol. 35(3), pages 1465-1475.
    2. Biéron, M. & Le Dréau, J. & Haas, B., 2023. "Assessment of the marginal technologies reacting to demand response events: A French case-study," Energy, Elsevier, vol. 275(C).
    3. Fernández-Blanco, Ricardo & Arroyo, José M. & Alguacil, Natalia, 2014. "Consumer payment minimization under uniform pricing: A mixed-integer linear programming approach," Applied Energy, Elsevier, vol. 114(C), pages 676-686.
    4. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "ELMOD - A Model of the European Electricity Market," MPRA Paper 65660, University Library of Munich, Germany.
    5. Dimitroulas, Dionisios K. & Georgilakis, Pavlos S., 2011. "A new memetic algorithm approach for the price based unit commitment problem," Applied Energy, Elsevier, vol. 88(12), pages 4687-4699.
    6. Luickx, Patrick J. & Helsen, Lieve M. & D'haeseleer, William D., 2008. "Influence of massive heat-pump introduction on the electricity-generation mix and the GHG effect: Comparison between Belgium, France, Germany and The Netherlands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(8), pages 2140-2158, October.
    7. Murugan, S. & Horák, Bohumil, 2016. "A review of micro combined heat and power systems for residential applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 144-162.
    8. Glotić, Arnel & Zamuda, Aleš, 2015. "Short-term combined economic and emission hydrothermal optimization by surrogate differential evolution," Applied Energy, Elsevier, vol. 141(C), pages 42-56.
    9. Halmschlager, Daniel & Beck, Anton & Knöttner, Sophie & Koller, Martin & Hofmann, René, 2022. "Combined optimization for retrofitting of heat recovery and thermal energy supply in industrial systems," Applied Energy, Elsevier, vol. 305(C).
    10. Jang-yeop Kim & Kyung Sup Kim, 2018. "Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand," Sustainability, MDPI, vol. 10(7), pages 1-27, July.
    11. Rong, Aiying & Lahdelma, Risto & Luh, Peter B., 2008. "Lagrangian relaxation based algorithm for trigeneration planning with storages," European Journal of Operational Research, Elsevier, vol. 188(1), pages 240-257, July.
    12. Florian Leuthold & Hannes Weigt & Christian Hirschhausen, 2012. "A Large-Scale Spatial Optimization Model of the European Electricity Market," Networks and Spatial Economics, Springer, vol. 12(1), pages 75-107, March.
    13. Rong, Aiying & Hakonen, Henri & Lahdelma, Risto, 2008. "A variant of the dynamic programming algorithm for unit commitment of combined heat and power systems," European Journal of Operational Research, Elsevier, vol. 190(3), pages 741-755, November.

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