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Coordinating scheduling of production and utility system using a Stackelberg game

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  • Leenders, Ludger
  • Bahl, Björn
  • Hennen, Maike
  • Bardow, André

Abstract

Operation of the production system and of the utility system is commonly optimized separately without feedback between them. This separated planning in general increases total costs. Conceptually, a joint optimization of production and utility system is desirable, but often not possible in practice. We overcome such practical limitations by proposing a repeated Stackelberg game. In the proposed method, the production schedule is determined such that costs for both production and utility system are reduced. For this purpose, price information are passed from the utility system to the production system leading to fast convergence of the repeated Stackelberg game. The proposed repeated Stackelberg game is applied to two literature-based case studies. The proposed method reduces the total costs in one repetition by 9% and 5%. The suggested method provides an effective and practical approach to operate systems with reduced minimal total costs in practice.

Suggested Citation

  • Leenders, Ludger & Bahl, Björn & Hennen, Maike & Bardow, André, 2019. "Coordinating scheduling of production and utility system using a Stackelberg game," Energy, Elsevier, vol. 175(C), pages 1283-1295.
  • Handle: RePEc:eee:energy:v:175:y:2019:i:c:p:1283-1295
    DOI: 10.1016/j.energy.2019.03.132
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    References listed on IDEAS

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    1. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    2. Bahl, Björn & Lampe, Matthias & Voll, Philip & Bardow, André, 2017. "Optimization-based identification and quantification of demand-side management potential for distributed energy supply systems," Energy, Elsevier, vol. 135(C), pages 889-899.
    3. Heinrich von Stackelberg, 2011. "Market Structure and Equilibrium," Springer Books, Springer, number 978-3-642-12586-7, January.
    4. Kumbartzky, Nadine & Schacht, Matthias & Schulz, Katrin & Werners, Brigitte, 2017. "Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market," European Journal of Operational Research, Elsevier, vol. 261(1), pages 390-404.
    5. Fred Glover, 1975. "Improved Linear Integer Programming Formulations of Nonlinear Integer Problems," Management Science, INFORMS, vol. 22(4), pages 455-460, December.
    6. Martin J. Osborne & Ariel Rubinstein, 1994. "A Course in Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262650401, April.
    7. Agha, Mujtaba H. & Thery, Raphaele & Hetreux, Gilles & Hait, Alain & Le Lann, Jean Marc, 2010. "Integrated production and utility system approach for optimizing industrial unit operations," Energy, Elsevier, vol. 35(2), pages 611-627.
    8. Voll, Philip & Klaffke, Carsten & Hennen, Maike & Bardow, André, 2013. "Automated superstructure-based synthesis and optimization of distributed energy supply systems," Energy, Elsevier, vol. 50(C), pages 374-388.
    9. Motalleb, Mahdi & Annaswamy, Anuradha & Ghorbani, Reza, 2018. "A real-time demand response market through a repeated incomplete-information game," Energy, Elsevier, vol. 143(C), pages 424-438.
    10. Alexander Mitsos, 2010. "Global solution of nonlinear mixed-integer bilevel programs," Journal of Global Optimization, Springer, vol. 47(4), pages 557-582, August.
    11. Zulkafli, Nur I. & Kopanos, Georgios M., 2016. "Planning of production and utility systems under unit performance degradation and alternative resource-constrained cleaning policies," Applied Energy, Elsevier, vol. 183(C), pages 577-602.
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    Cited by:

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