A Dual-Stage Modeling and Optimization Framework for Wayside Energy Storage in Electric Rail Transit Systems

A Dual-Stage Modeling and Optimization Framework for Wayside Energy Storage in Electric Rail Transit Systems

In this paper, a dual-stage modeling and optimization framework has been developed to obtain an optimal combination and size of wayside energy storage systems (WESSs) for application in DC rail transportation. Energy storage technologies may consist of a standalone battery, a standalone supercapacit...

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Bibliographic Details
Main Authors: Oindrilla Dutta, Mahmoud Saleh, Mahdiyeh Khodaparastan, Ahmed Mohamed
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
battery
DC rail transit system
energy management
flywheel
genetic algorithm
optimization
Online Access:https://www.mdpi.com/1996-1073/13/7/1614

Internet

https://www.mdpi.com/1996-1073/13/7/1614

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