A Review of EV Load Scheduling with Wind Power Integration

被引:8
|
作者
Huang, Qilong [1 ]
Jia, Qing-Shan [1 ]
Guan, Xiaohong [1 ,2 ,3 ]
机构
[1] Tsinghua Univ, Dept Automat, CFINS, TNLIST, Beijing 100084, Peoples R China
[2] Xi An Jiao Tong Univ, SKLMS Lab, Xian 710049, Shaanxi Provinc, Peoples R China
[3] Xi An Jiao Tong Univ, MOEKLINNS Lab, Xian 710049, Shaanxi Provinc, Peoples R China
来源
IFAC PAPERSONLINE | 2015年 / 48卷 / 28期
关键词
Electric vehicles; wind power; optimization; review; ELECTRIC VEHICLES; ENERGY; GENERATION; PREDICTION; MANAGEMENT; DEMAND; PART;
D O I
10.1016/j.ifacol.2015.12.129
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the environmental concerns, it attracts more and more attention on the usage of the clean energy, such as the wind power. An important utilization of wind power is to charge the clean-emission electric vehicles (EVs). However, due to the uncertainties in the wind supply and EV moving, it is still challenging to schedule the EV charging and the wind power generation to improve the wind power utilization. This paper reviews the existing models and methods on solving this scheduling problem. We make the following contributions. First, we review the existing models for the wind power prediction. The differences of these models are analyzed. Second, we review the existing models for the EV moving prediction. The main challenges in the prediction will be discussed. Third, we discuss the existing methods to schedule the EV charging load to match the wind power. Several future research directions of this scheduling problem are discussed.
引用
收藏
页码:223 / 228
页数:6
相关论文
共 50 条
  • [1] Robust Scheduling of EV Charging Load With Uncertain Wind Power Integration
    Huang, Qilong
    Jia, Qing-Shan
    Guan, Xiaohong
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (02) : 1043 - 1054
  • [2] EV Charging Load Scheduling with High Wind Power Penetration: A Robust Shortest Path Approach
    Huang, Qilong
    Jia, Qing-Shan
    Guan, Xiaohong
    [J]. 2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 2765 - 2770
  • [3] Direct Load Control for Wind Power Integration
    Kondoh, Junji
    [J]. 2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [4] THE JOINT SCHEDULING OF EV CHARGING LOAD WITH BUILDING MOUNTED WIND POWER USING SIMULATION-BASED POLICY IMPROVEMENT
    Yang, Yu
    Jia, Qing-Shan
    Guan, Xiaohong
    [J]. 2016 INTERNATIONAL SYMPOSIUM ON FLEXIBLE AUTOMATION (ISFA), 2016, : 165 - 170
  • [5] Review of Adaptive Load Frequency Control Strategies for Improving Wind Power Plant Integration
    Tshinavhe, Ntanganedzeni
    Ratshitanga, Mukovhe
    Tshemese-Mvandaba, Nomzamo
    [J]. 2024 32ND SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE, SAUPEC, 2024, : 230 - 235
  • [6] Identifying Equivalent Load Model of Power Systems With Wind Power Integration
    Zhu, Zi
    Bail, Xuefeng
    Zhang, Wei
    Liu, Ruiye
    Xu, Ying
    [J]. 2016 UKACC 11TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), 2016,
  • [7] Research on Source and Load Interactive Power System Scheduling Method with Wind Power
    Guan Ming
    Li Yanan
    Ye Dan
    Li Jianjun
    Sui Yi
    Zhang Linlin
    Li Ruojiao
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE), 2018, : 487 - 491
  • [8] Investigating the Effects of Flexible Load in the Grid Integration of Wind Power
    Heydarian-Forushani, E.
    Moghaddam, M. Parsa
    Sheikh-El-Eslami, M. K.
    Shafie-khah, M.
    Catalao, Joao P. S.
    [J]. 2014 IEEE PES T&D CONFERENCE AND EXPOSITION, 2014,
  • [9] Integration Challenges of Wind Power on Power System Grid A Review
    Gupta, Anil
    [J]. 2018 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATION AND TELECOMMUNICATION (ICACAT), 2018,
  • [10] Wind Power Cooperative Scheduling Strategy Considering the Life Cycle Carbon Emissions of EV
    Yang, Fengkun
    Chen, Liangliang
    [J]. PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2018), 2018, 127 : 153 - 159