Multi-criteria fuzzy-logic optimized supervision for hybrid railway power substations

DOI10.1016/J.MATCOM.2016.05.002OpenAlexW2420918144MaRDI QIDQ2228902

Dhaker Abbes, Petronela Pankovits, Benoît Robyns, Christophe Saudemont, Julien Pouget, Stephane Brisset

Publication date: 19 February 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2016.05.002

zbMATH Keywords

genetic algorithm (GA)hybrid railway power substation (HRPS)design of experiments (DoE)fuzzy logic (FL) energy managementsupervision design

Mathematics Subject Classification ID

Computer science (68-XX) Systems theory; control (93-XX)

Related Items (4)

An iterative algorithm for simulating heat recovery from exhaust gas -- application on generators ⋮ Neural network power management for hybrid electric elevator application ⋮ Modeling of electromagnetic behavior of composite thin layers using genetic algorithm ⋮ Comparison of dynamic models for a DC railway electrical network including an AC/DC bi-directional power station

Cites Work

• A methodology to design a fuzzy logic based supervision of hybrid renewable energy systems

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