A quadratic programming based optimisation to manage electric bus fleet charging

被引:0
|
作者
Houbbadi, Adnane [1 ]
Trigui, Rochdi [1 ]
Pelissier, Serge [1 ]
Redondo-Iglesias, Eduardo [1 ]
Bouton, Tanguy [2 ]
机构
[1] Univ Lyon, IFSTTAR, AME, ECO7, F-69675 Lyon, France
[2] TRANSDEV Grp Headquarters, 3 Allee Grenelle, F-92442 Issy Les Moulineaux, France
关键词
electric bus fleet; optimisation; quadratic programming; charging infrastructure; electric vehicle supply equipment; MODEL;
D O I
10.1504/IJEHV.2019.102862
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The use of electric buses (EBs) is expected to increase significantly in the coming years. Uncontrolled charging of EBs can affect not only the power grid (grid instability, harmonic pollution) but also the operating cost. This paper introduces an optimal charging strategy based on charging schedule planning and modulation of charging power for a fleet of electrical-powered buses. The optimal charging strategy allows minimising the charging cost as well as the load power variations using quadratic programming. The proposed quadratic programming can significantly reduce the computation time and simultaneously handle a large bus fleet. First results indicate a significant reduction in customer energy bills while avoiding potential penalties due to peak loads.
引用
收藏
页码:289 / 307
页数:19
相关论文
共 50 条
  • [1] Optimal Scheduling to Manage an Electric Bus Fleet Overnight Charging
    Houbbadi, Adnane
    Trigui, Rochdi
    Pelissier, Serge
    Redondo-Iglesias, Eduardo
    Bouton, Tanguy
    [J]. ENERGIES, 2019, 12 (14):
  • [2] Multi-objective optimisation of the management of electric bus fleet charging
    Houbbadi, Adnane
    Trigui, Rochdi
    Pelissier, Serge
    Redondo-Iglesias, Eduardo
    Bouton, Tanguy
    [J]. 2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2017,
  • [3] Aggregator-supported strategy for electric bus fleet charging: A hierarchical optimisation approach
    Manzolli, Jonatas Augusto
    Trovao, Joao Pedro F.
    Antunes, Carlos Henggeler
    [J]. ENERGY, 2024, 307
  • [4] Dynamic programming-based optimisation of charging an electric vehicle fleet system represented by an aggregate battery model
    Skugor, Branimir
    Deur, Josko
    [J]. ENERGY, 2015, 92 : 456 - 465
  • [5] Dynamic Programming-based Optimization of Electric Vehicle Fleet Charging
    Skugor, Branimir
    Deur, Josko
    [J]. 2014 IEEE INTERNATIONAL ELECTRIC VEHICLE CONFERENCE (IEVC), 2014,
  • [6] Integrated Charging Station and Mixed Fleet Planning for Electric Taxi and Electric Bus
    Tian, Min
    Wei, Yue
    Huang, Xianchao
    Ding, Zhaohao
    [J]. 2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022), 2022, : 687 - 692
  • [7] Fleet and charging infrastructure decisions for fast-charging city electric bus service
    Guschinsky, Nikolai
    Kovalyov, Mikhail Y.
    Rozin, Boris
    Brauner, Nadia
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2021, 135 (135)
  • [8] Assessing the Charging Load of Battery Electric Bus Fleet for Different Types of Charging Infrastructure
    Basma, Hussein
    Haddad, Marc
    Mansour, Charbel
    Nemer, Maroun
    Stabat, Pascal
    [J]. 2021 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC), 2021, : 887 - 892
  • [9] Optimal electric bus fleet scheduling for a route with charging facility sharing
    Ji, Jinhua
    Bie, Yiming
    Wang, Linhong
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 147
  • [10] Collaborative Optimization of Electric Bus Fleet Replacement and Charging Facility Layout
    Wang Y.-S.
    Luo X.-X.
    Shan X.-Q.
    [J]. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2024, 37 (04): : 72 - 83