Title: Charging schedule for load peak minimization on large-scale electric bus depots
Authors: Jahic, Amra 
Eskander, Mina 
Schulz, Detlef  
Affiliation: Elektrische Energiesysteme
Elektrische Energiesysteme
Elektrische Energiesysteme
Language: en
Keywords: Universitätsbibliographie;Evaluation 2019
Subject (DDC): Ingenieurwissenschaften
Subject: Charging Scheduling
Electric Dus Depot
Load Peak Minimization
Issue Date: 2019
Publisher: MDPI
Document Type: Article
Source: Enthalten in: Applied Sciences. - Basel : MDPI, 2011. - Online-Ressource. - Bd. 9.2019, 9, insges. 15 S.
Journal / Series / Working Paper (HSU): Applied Sciences : open access journal 
Volume: 9
Issue: 9
Pages: insges. 15 S.
Publisher Place: Basel
Document Version: publishedVersion
Abstract: 
The city of Hamburg has decided to electrify its bus fleets. The two public transportation companies in this city expect to operate up to 1500 buses by 2030. In order to accomplish this ambitious goal, both companies need to build an appropriate charging infrastructure. They have both decided to implement the centralized depot charging concept. Buses can therefore charge only at the depot and do not have the possibility for opportunity charging at intermediate stations. The load profile of such a bus depot is highly dependent on the charging schedule of buses. Without an intelligent scheduling system, the buses charge on demand as soon as they arrive to the depot. This can lead to an unevenly distributed load profile with high load peaks, which is problematic for the local grid as well as for the equipment dimensioning at the depot. Charging scheduling on large-scale bus depots is a relatively new and poorly researched topic. This paper addresses the issue and proposes two algorithms for charging scheduling on large-scale bus depots with the goal to minimize the peak load. The schedules created with the proposed algorithms were both tested and validated in the Bus Depot Simulator, a cosimulation platform used for bus depot simulations. © 2019 by the authors.
Organization Units (connected with the publication): Elektrische Energiesysteme 
URL: https://ub.hsu-hh.de/DB=1/XMLPRS=N/PPN?PPN=1665293357
https://doi.org/10.3390/app9091748
DOI: 10.3390/app9091748
Rights: 4.0 deutsch
Appears in Collections:2019

Show full item record

CORE Recommender

SCOPUSTM   
Citations

18
checked on Nov 30, 2021

Google ScholarTM

Check

Altmetric

Altmetric


Items in openHSU are protected by copyright, with all rights reserved, unless otherwise indicated.