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 - EA 2697
2 INOCS - Integrated Optimization with Complex Structure
ULB - Université Libre de Bruxelles [Bruxelles], Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - 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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https://hal.inria.fr/hal-01629326
Contributor : Maxime Ogier <>
Submitted on : Tuesday, November 6, 2018 - 12:43:09 PM
Last modification on : Tuesday, April 2, 2019 - 2:39:46 AM
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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