Reliability Assessment of Distribution Network and Electric Vehicle Considering Quasi-Dynamic Traffic Flow and Vehicle-to-Grid

被引：31
|
作者：
Zhang, Qian [1 ]
Zhu, Yi [1 ]
Wang, Zhong [2 ]
Su, Yaojia [1 ]
Li, Chunyan [1 ]
机构：
[1] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
[2] State Grid Chengdu Power Supply Co, Chengdu 610041, Sichuan, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷
基金：
中国国家自然科学基金;
关键词：
Electric vehicles; reliability; quasi-dynamic travel; Monte Carlo method; INTEGRATION;
D O I：
10.1109/ACCESS.2019.2940294
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the increasing number of electric vehicles and the emergence of vehicle-to-grid technology, electric vehicles have become distributed loads and power sources with random movement characteristics in the distribution network. In order to evaluate the reliability of the distribution network incorporating electric vehicles, firstly, this paper uses the trip chain theory to describe the travel of electric vehicles. Based on the static traffic flow distribution, a high efficiency quasi-dynamic travel simulation method is proposed to consider the influence of traffic congestion on the path selection. Then, the simulation time advancement of the Monte Carlo method is improved, which makes the reliability assessment of the distribution network containing a large amount of electric vehicles' charging and discharging behaviors realizable. Finally, the practicality of the method is verified by the modified IEEE-RBTS Bus-6 test system. The effects of electric vehicles penetration, discharging threshold, and battery capacity on reliability of both distribution networks and electric vehicles are studied.
引用
收藏
页码：131201 / 131213
页数：13
相关论文
共 49 条
  • [41] Optimal Planning of Electric Vehicle Charging Station in Radial Distribution Network considering System Average Interruption Frequency Index
    Chakraborty, Raj
    Das, Priyanath
    Das, Diptanu
    2022 IEEE 6TH INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS, CATCON, 2022, : 177 - 181
  • [42] Optimal operating strategy of distribution network based on coordination of electric vehicle and distributed energy resource considering current protection
    Mei Z.
    Zhan H.
    Yang X.
    Deng Q.
    Zhang H.
    Zhu J.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2020, 40 (02): : 89 - 96and181
  • [43] DEA-based multi-stage planning method of electric vehicle charging facilities considering coupling of transportation network and distribution network
    Wang S.
    Liu D.
    Yu L.
    Zhao Q.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2022, 42 (10): : 100 - 106
  • [44] Joint planning of electric vehicle fast charging stations and distribution network based on a traffic-electricity equilibrium coupling model
    Zhang M.
    Zhang Q.
    Yang X.
    Yu W.
    Cao J.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2023, 51 (11): : 51 - 63
  • [45] PSO-based optimal placement of electric vehicle charging stations in a distribution network in smart grid environment incorporating backward forward sweep method
    Altaf, Mishal
    Yousif, Muhammad
    Ijaz, Haris
    Rashid, Mahnoor
    Abbas, Nasir
    Khan, Muhammad Adnan
    Waseem, Muhammad
    Saleh, Ahmed Mohammed
    IET RENEWABLE POWER GENERATION, 2024, 18 (15) : 3173 - 3187
  • [46] Controlled electric vehicle charging for reverse power flow correction in the distribution network with high photovoltaic penetration: case of an expanded IEEE 13 node test network
    Fokui, Willy Stephen Tounsi
    Saulo, Michael
    Ngoo, Livingstone
    HELIYON, 2022, 8 (03)
  • [47] A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries
    Cervellieri, Alice
    ENERGIES, 2024, 17 (23)
  • [48] A game-theoretic approach to mitigate charging anxiety for electric vehicle users through multi-parameter dynamic pricing and real-time traffic flow
    Rasheed, M. B.
    Llamazares, Angel
    Ocana, Manuel
    Revenga, Pedro
    ENERGY, 2024, 304
  • [49] Optimal Scheduling for Increased Satisfaction of Both Electric Vehicle Users and Grid Fast-Charging Stations by SOR&KANO and MVO in PV-Connected Distribution Network
    Yan, Qingyuan
    Gao, Yang
    Xing, Ling
    Xu, Binrui
    Li, Yanxue
    Chen, Weili
    ENERGIES, 2024, 17 (14)
12345