Abstract
In this paper a MILP-based opt imization algorithm for the optimaloperation planning of energy supply systems is presented. For this purpose, the maintasks of optimal operation planning are discussed and th e Priority-Based DynamicSearch Strategy (PBDSS) for the solution of the optimization problem is developed taking into account different acceleration strategies. Exemplary results comparingstandard branch-and-bound algorithm to the new search strategy demonstrate the significant improvement of the optimization process.
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References
Beale E. M. L. (1998) Introduction to Optimization. Wiley, Chichester
Hacklander P., Verstege J. F. (1999) Public cogeneration in Liberalized EnergyMarkets: Operation Concepts to Sustain Competitiveness. Euroheat & Power Fernwiirme International, Vol. 29, No. 1/2, pp. 77–85
Illerhaus S. W., Verstege J. F. (1999) Optimal Operation of CHP-based Industrial-Power Systems in Liberalized Energy Markets. In: IEEE (Ed.) Proceedings of the PowerTech ’99 Conference, Budapest, Hungary, BPT99–352-13
Maubach K.-D., Verstege J. F. (1993) Long-Term Operation Planning in Combined Heat and Power Suppy Systems. In: PSCC (Ed.) Proceedings of the 11th Power Systems Computation Conference, Avignon, France, pp. 601–607
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Häcklander, P., Verstege, J.F. (2003). Accelerated MILP-Strategies for the Optimal. In: Leopold-Wildburger, U., Rendl, F., Wäscher, G. (eds) Operations Research Proceedings 2002. Operations Research Proceedings 2002, vol 2002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55537-4_42
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DOI: https://doi.org/10.1007/978-3-642-55537-4_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00387-8
Online ISBN: 978-3-642-55537-4
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