Evaluation model on schedulable potential of electric vehicles based on Monte Carlo Simulation

被引:0
|
作者
Ye, Linhao [1 ]
Mo, Yifu [1 ]
Chen, Mingfan [1 ]
Chen, Xu [2 ]
Bai, Xueyang [3 ]
机构
[1] China Southern Power Grid Co Ltd, Guangzhou 510663, Guangdong, Peoples R China
[2] China Southern Power Grid Co Ltd, Planning & Dev Dept, Guangzhou 510663, Guangdong, Peoples R China
[3] Guangzhou Power Elect Technol Co Ltd, Guangzhou 510670, Guangdong, Peoples R China
来源
2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2018年
关键词
schedulable potential; electric vehicles; Monte Carlo Simulation; evaluation model;
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
With the rising permeability of electric vehicles( EVs), EVs contain enormous schedulable potential. It will provide guidance and support for dispatchers if the schedulable potential can be accurately predicted and evaluated. Hence, this paper introduces constant current-constant voltage two-stage variable power model to describe the process of discharging and charging. Then, an evaluation method on schedulable potential considering different needs of dispatchers and users is proposed to calculate the optimal discharging and charging threshold, when the needs of dispatchers and users are both took into account. After that the evaluation model on schedulable potential of EVs in distribution network is built. According to the data of EVs operating conditions, this model is able to evaluate the schedulable potential of EVs that meet the needs of dispatchers and users. Finally, a simulation examples demonstrated the validity and correctness of the model.
引用
收藏
页码:1531 / 1538
页数:8
相关论文
共 50 条
  • [11] Schedulable capacity forecasting for electric vehicles based on big data analysis
    Meiqin MAO
    Shengliang ZHANG
    Liuchen CHANG
    Nikos D.HATZIARGYRIOU
    Journal of Modern Power Systems and Clean Energy, 2019, 7 (06) : 1651 - 1662
  • [12] On Monte Carlo simulation for the HJM model based on jump
    Park, Kisoeb
    Kim, Moonseong
    Kim, Seki
    COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS, 2006, 3991 : 38 - 45
  • [13] A spectral representation based model for Monte Carlo simulation
    Grigoriu, M
    PROBABILISTIC ENGINEERING MECHANICS, 2000, 15 (04) : 365 - 370
  • [14] Stochastic multizone model based on Monte Carlo simulation
    Brohus, H
    Frier, C
    Heiselberg, P
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INDOOR AIR QUALITY, VENTILATION AND ENERGY CONSERVATION IN BUILDINGS, VOLS I-III, 2001, : 195 - 202
  • [15] Implementation of Fuzzy Model for Maintenance Scheduling of Vehicles Based on Monte Carlo Simulation and Geographical Information System
    Kamlu, Sushma
    Laxmi, V.
    IETE JOURNAL OF RESEARCH, 2017, 63 (02) : 225 - 237
  • [16] A Monte Carlo simulation model for reliability evaluation of transmission systems
    Chowdhury, A. A.
    2005 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT 2005), 2005, : 54 - 60
  • [17] A sequential Monte-Carlo simulation based reliability evaluation model for distribution network
    Ding, Ming
    Zhang, Jing
    Li, Sheng-Hu
    Power System Technology, 2004, 28 (03) : 38 - 42
  • [18] Reliability Evaluation of Distribution Network with Electric Vehicles and Distributed Generations Based on Network Equivalence and Sequential Monte Carlo Method
    Wang, Haipeng
    Li, Kaiwen
    Liu, Zixuan
    He, Yuling
    Wang, Xiaolong
    Sun, Kai
    Yang, Peng
    JOURNAL OF ENERGY ENGINEERING, 2024, 150 (04)
  • [19] Monte Carlo simulation based toy model for fission process
    Kurniadi, Rizal
    Waris, Abdul
    Viridi, Sparisoma
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2016, 27 (03):
  • [20] Monte Carlo simulation of a model of water
    Maggs, AC
    PHYSICAL REVIEW E, 2005, 72 (04):