Real-time Scheduling of Electric Vehicles for Ancillary Services

被引：0
|
作者：
Juul, Frederik [1 ]
Negrete-Pincetic, Matias [1 ,2 ]
MacDonald, Jason [3 ]
Callaway, Duncan [1 ]
机构：
[1] Univ Calif Berkeley, Energy Resources Grp, Berkeley, CA 94720 USA
[2] Pontificia Univ Catolica Chile, Dept Elect Engn, Santiago, Chile
[3] Lawrence Berkeley Natl Lab, Berkeley, CA USA
来源：
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年
关键词：
Electric Vehicles; Resource Scheduling; Ancillary Services Market; Vehicle to Grid Control;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This work is part of a project that aims to demonstrate the concept of Vehicle-to-Grid (V2G) with an operational fleet. A fleet of electric vehicles is operated with the objective of providing regulation services to the grid. The focus of this paper is on the real-time operation of the fleet. Specifically, given an optimal trajectory for the vehicle state of charge, schemes for distributing the regulation power commands among the vehicles are tested. A scheme based on a convex optimization problem is proposed. Several numerical illustrations and simulations show the effectiveness of the scheme respect to common scheduling heuristics in terms of accuracy.
引用
收藏
页数：5
相关论文
共 50 条
  • [1] Real-time Charging Scheduling for Electric Vehicle Aggregators in the Ancillary Service Market
    Zunnurain, Izaz
    Sang, Yuanrui
    [J]. 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [2] Real-Time Charging Strategies for an Electric Vehicle Aggregator to Provide Ancillary Services
    Wenzel, George
    Negrete-Pincetic, Mallas
    Olivares, Daniel E.
    MacDonald, Jason
    Callaway, Duncan S.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (05) : 5141 - 5151
  • [3] Bayesian Network based Real-time Charging Scheduling of Electric Vehicles
    Ren, Hongtao
    Wen, Fushuan
    Xu, Chengwei
    Du, Jinqiao
    Tian, Jie
    [J]. 2020 INTERNATIONAL CONFERENCE ON SMART GRIDS AND ENERGY SYSTEMS (SGES 2020), 2020, : 1022 - 1026
  • [4] Dynamic Charging Scheduling for Electric Vehicles Considering Real-Time Traffic Flow
    Li, Yuan
    Liu, Xunyuan
    Wen, Fushuan
    Zhang, Xizhu
    Wang, Lei
    Xue, Yusheng
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [5] Optimal Scheduling of Electric Vehicles for Ancillary Service Provision with Real Driving Data
    Tsagkaroulis, Panagiotis
    Thingvad, Andreas
    Marinelli, Mattia
    Suzuki, Kenta
    [J]. 2021 56TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC 2021): POWERING NET ZERO EMISSIONS, 2021,
  • [6] Market Mechanism and Scheduling Strategy of Ancillary Services Considering Real-time Frequency Regulation Requirements
    Liu, Jiajie
    Jia, Yanbing
    Chen, Hao
    Han, Xiaoqing
    Tong, Guofeng
    [J]. Dianwang Jishu/Power System Technology, 2022, 46 (04): : 1269 - 1278
  • [7] Real-time Scheduling of Deferrable Electric Loads
    Subramanian, A.
    Garcia, M.
    Dominguez-Garcia, A.
    Callaway, D.
    Poolla, K.
    Varaiya, P.
    [J]. 2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 3643 - 3650
  • [8] Continuous-time Model Predictive Control for Real-time Flexibility Scheduling of Plugin Electric Vehicles
    Khatami, Roohallah
    Parvania, Masood
    Bagherinezhad, Avishan
    [J]. IFAC PAPERSONLINE, 2018, 51 (28): : 498 - 503
  • [9] Economic real-time energy trading services for electric vehicles with uncertain mobility demand
    Merfeld, Tanja
    Meisel, Stephan
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 340
  • [10] Real-time Optimization Scheduling Strategy for Aggregated Electric Vehicles Supported by Artificial Intelligence Technology
    Zhou, Huayanran
    Zhou, Yihong
    Hu, Junjie
    Xie, Dongliang
    [J]. Dianwang Jishu/Power System Technology, 2021, 45 (04): : 1446 - 1454
12345