Open Access
Analysis of the resilience of an electric‐based transportation system
Author(s) -
De Krishnarti,
Majumder Suman,
Kumar Praveen
Publication year - 2020
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
ISSN - 2042-9746
DOI - 10.1049/iet-est.2018.5087
Subject(s) - grid , controller (irrigation) , resilience (materials science) , fuzzy logic , energy storage , reliability engineering , work (physics) , engineering , energy (signal processing) , automotive engineering , computer science , transport engineering , risk analysis (engineering) , mechanical engineering , medicine , power (physics) , statistics , physics , geometry , mathematics , quantum mechanics , artificial intelligence , agronomy , biology , thermodynamics
The increasing pollution due to vehicular emissions demands a quick review of the present transportation structure. Replacing the present transportation system with an electric‐based public transportation system is a possible solution. This system will use high‐capacity storage devices that will be placed at the bus stops to store energy from the electric grid and then charge the buses. The implementation of such a system will require a systematic energy flow between entities such as the grid, energy storage systems, and buses. This energy flow may get interrupted due to failures between the entities and thus cause failures in the system. The objective of this work is to investigate various failures that can occur and propose strategies to minimise the impact of the failures on the operation of the system. In order to achieve this objective, a simulation model of the transportation system is developed for the analysis of different issues, which exist in the system and the fuzzy logic controller has been designed to provide solutions to these issues. The results show that with the proper working of the controller it is possible to mitigate failures that are caused due to critical energy flow disruptions.