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Collaborative and multilevel optimizations of a hybrid railway power substation

Stephane Brisset 1 Maxime Ogier 2
1 OMN - L2EP - Équipe Outils et Méthodes Numériques
L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697
2 INOCS - Integrated Optimization with Complex Structure
Inria Lille - Nord Europe, ULB - Université libre de Bruxelles, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : Three approaches are proposed for the design of a hybrid railway power substation taking into account the control of the storage system over 1 year. The first one is based on a piecewise linearization of the cost function and solved with linear programming. The others decompose the whole problem in 2 levels with lower dimensionality. Collaborative optimization solves it with a double-loop scheme while Benders decomposition allows a sequential resolution. This last gives the same solution as linear programming in about 5 times more computing time and can be used with a nonlinear cost function.
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Submitted on : Tuesday, November 6, 2018 - 12:43:09 PM
Last modification on : Friday, December 11, 2020 - 6:44:07 PM
Long-term archiving on: : Thursday, February 7, 2019 - 2:51:49 PM


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Stephane Brisset, Maxime Ogier. Collaborative and multilevel optimizations of a hybrid railway power substation. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Wiley, 2017, pp.1-13. ⟨10.1002/jnm.2289⟩. ⟨hal-01629326⟩



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