Research on the effect of large-scale electric vehicle based on smart wearable equipment access to grid

被引:0
|
作者
Li Cai
Pengqiu Hu
Zefu Tan
机构
[1] Chongqing Three Gorges University,Key Laboratory of Information and Signal Processing
关键词
Electric vehicle; Smart wearable equipment; Probability model; Power grid; Stability;
D O I
暂无
中图分类号
学科分类号
摘要
The development of electric vehicles is getting faster and faster. Large-scale electric vehicle access to grid will have a series of effects on the grid. This paper analyzes the current situation of electric vehicle and power grid, introduces the concept and application of power big data, and then puts forward a probability model of electric vehicle access to grid. The paper obtained the big data of the Chinese electric vehicle by experiment, then analyzed it and got the effect to stability of power grid and demand response model with strong uncertainty of large-scale electric vehicle access to grid. This paper proposes a way to collect parameters of electric vehicles using intelligent wearable devices. Finally, a reasonable way to use electric vehicles as energy storage resources is put forward. It can prevent the unstable operation of power grid after the large number of access to electric vehicle charging piles, and improve the reliability and robustness of the power grid system.
引用
收藏
页码:3231 / 3237
页数:6
相关论文
共 50 条
  • [31] Research on periodic maintenance schedules of large-scale equipment based on maintenance knowledge
    Jiang, W. (jwy126@126.com), 1600, Binary Information Press, Flat F 8th Floor, Block 3, Tanner Garden, 18 Tanner Road, Hong Kong (10):
  • [32] Research on voltage coordinated control strategy of large-scale renewable energy access to grid optimization
    Huang, W.
    Yang, R.
    Shi, J. F.
    Yuan, X. T.
    Liu, Y.
    Ding, R. Y.
    Zhan, L. Y.
    Yang, Z. L.
    2019 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM, 2019, 354
  • [33] Large-Scale Modeling of Grid-Connected Electric Vehicles
    Rolink, Johannes
    Rehtanz, Christian
    IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (02) : 894 - 902
  • [34] Mosaic Packing to Visualize Large-Scale Electric Grid Data
    Birchfield, Adam B.
    Overbye, Thomas J.
    IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY, 2020, 7 (01): : 212 - 221
  • [35] Study on the influence of large-scale Electric Vehicles on power grid
    Yang, Wen
    Zhai, Changguo
    Huang, Xiaoshu
    PROGRESS IN RENEWABLE AND SUSTAINABLE ENERGY, PTS 1 AND 2, 2013, 608-609 : 1566 - 1570
  • [36] Using Wearable Equipment to Construct Monitoring Maps in Large-scale Petrochemical Plants
    Shu, Lei
    Li, Kailiang
    Zen, Junlin
    Sun, Huilin
    Huo, Zhiqiang
    Zhou, Zhangbing
    IPSN'15: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, 2015, : 332 - 333
  • [37] Research on electric vehicle load Optimal Access Point based on Grid operation risk assessment
    Zhou, Hubing
    Zhang, Kanjun
    Chen, Yongxin
    Li, Hengxuan
    2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 498 - 502
  • [38] Undergraduate Research on Big Data Analysis: Towards Large-Scale Electric Vehicle Integration Studies
    Haylow, Lyric
    Wallison, Diana
    Snodgrass, Jonathan
    Overbye, Thomas
    2024 56TH NORTH AMERICAN POWER SYMPOSIUM, NAPS 2024, 2024,
  • [39] Electric Drive Vehicle to Grid Synergies with Large Scale Wind Resources
    Ghofrani, M.
    Arabali, A.
    Etezadi-Amoli, M.
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [40] Aggregated Electric Vehicle Load Modeling in Large-Scale Electric Power Systems
    Wang, Bo
    Zhao, Dongbo
    Dehghanian, Payman
    Tian, Yuting
    Hong, Tianqi
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (05) : 5796 - 5810