Research into Probabilistic Representation of Electric Vehicle's Charging Load and Its Effect to The Load Characteristics of The Network

被引：0
|
作者：
Li, Yanning [1 ]
Zhang, Jinguo [2 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[2] State Grid Jiangsu Maintenance Co, Nanjing, Jiangsu, Peoples R China
来源：
2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015) | 2015年
关键词：
electric vehicles; battery charging; probability distribution; distribution network; load profile;
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：
The uncertainty in the temporal and spatial distribution of electric vehicle's (EV) charging load will directly affect the network's load pattern and other operational characteristics. This paper analyses the key factors which can affect the EV's charging load. Based on the data obtained from the EV charging terminals of a technology park in Beijing, the EV charging's starting time, duration and charging power are analyzed in terms of their probability distribution and probability density function. EV load's temporal and spatial probability representation and the charging load's expected model are then analyzed. Using Beijing area's summer load as a case study, the EV's unregulated charging and its effect to the distribution network's load characteristic is analyzed under different EV penetration levels.
引用
收藏
页码：426 / 430
页数：5
相关论文
共 50 条
  • [31] Assessment of Electric Vehicle Charging Load and its Impact on Electricity Market Price
    Jain, Prateek
    Jain, Trapti
    2014 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE), 2014, : 74 - 79
  • [32] Electric vehicle charging load forecasting based on ownership
    Deng, Li
    Lei, Guoping
    Dai, Nina
    Li, Shenghao
    2022 IEEE 21ST INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS, IUCC/CIT/DSCI/SMARTCNS, 2022, : 44 - 50
  • [33] Online Learning of Load Elasticity for Electric Vehicle Charging
    Soltani, Nasim Yahya
    Kim, Seung-Jun
    Giannakis, Georgios B.
    2013 IEEE 5TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP 2013), 2013, : 436 - 439
  • [34] An approach for load modeling of electric vehicle charging station
    Yang, Shaobing
    Wu, Mingli
    Jiang, Jiuchun
    Zhao, Wei
    Dianwang Jishu/Power System Technology, 2013, 37 (05): : 1190 - 1195
  • [35] Probabilistic Modeling of Electric Vehicle Charging Pattern Associated with Residential Load for Voltage Unbalance Assessment
    Ul-Haq, Azhar
    Azhar, Marium
    Mahmoud, Yousef
    Perwaiz, Aqib
    Al-Ammar, Essam A.
    ENERGIES, 2017, 10 (09):
  • [36] Impacts of Electric Vehicle Charging on the Load of Power System
    Pan, Mingming
    Wu, Lei
    Li, Qiang
    Xie, Xiaolei
    CONFERENCE PROCEEDINGS OF THE 6TH INTERNATIONAL SYMPOSIUM ON PROJECT MANAGEMENT (ISPM2018), 2018, : 524 - 532
  • [37] Electric Vehicle Charging Load Calculation Considering the Limitation of Charging length
    Guo, Xiaoli
    Xiao, Xin
    Zhang, Xinsong
    PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, 2016, 43 : 510 - 520
  • [38] Ensemble Learning for Charging Load Forecasting of Electric Vehicle Charging Stations
    Huang, Xingshuai
    Wu, Di
    Boulet, Benoit
    2020 IEEE ELECTRIC POWER AND ENERGY CONFERENCE (EPEC), 2020,
  • [39] Research on Factors that Influence the Charging Load of Electric Vehicles and Modeling of the Load
    Shan, Jiang
    Lei, Wei
    Ning, Jiang
    Wei, Wang
    Huan, Yan
    PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 1412 - 1415
  • [40] Charging Load Modeling Integrated With Electric Vehicle Whole Trajectory Space and Its Impact on Distribution Network Reliability
    Jiang Z.
    Xiang Y.
    Liu J.
    Zhu J.
    Shui Y.
    Dianwang Jishu/Power System Technology, 2019, 43 (10): : 3789 - 3799
12345