Electricity price linkage model considering V2G

被引：0
|
作者：
Shi, Quansheng [1 ]
Ping, Zongfei [1 ]
Chen, Minjun [1 ]
机构：
[1] School of Economics and Management, Shanghai University of Electric Power, Shanghai,200090, China
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2014年 / 34卷 / 11期
关键词：
Charging (batteries) - Monte Carlo methods - Electric vehicles - Intelligent systems - Costs - Electric power transmission networks - Curve fitting - Electric power system control;
D O I：
10.3969/j.issn.1006-6047.2014.11.006
中图分类号：
学科分类号：
摘要：
Different control and usage strategies of EV (Electric Vehicle) charging/discharging result in different influences on grid load curve, which then affects the enactment and implementation of TOU (Time-Of-Use power price) policy. A electricity price linkage model considering of V2G (Vehicle to Grid) is proposed. The Monte Carlo simulation method is applied to simulate the charging/discharging curve of a certain amount of EVs. The user load curve is then optimized by adjusting the retail-side TOU according to users' response. The updated grid load curve is the superposition of user load curve and EV charging/discharging curve, based on which, the generation-side TOU is adjusted to balance the benefits brought in by V2G between retail side and generation side. Based on the practical data, the proposed model is simulated for three V2G modes and two charging/discharging price modes, verifying its effectiveness. time-of-use power ©, 2014, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码：34 / 40
相关论文
共 50 条
  • [1] The reserve trading model considering V2G Reverse
    Lefeng, Shi
    Qian, Zhang
    Yongjian, Pu
    ENERGY, 2013, 59 : 50 - 55
  • [2] Study on Linkage Electricity Price Model Considering Environmental Benefit
    Shi, Quan-sheng
    Ping, Zong-fei
    INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL AND AUTOMATION ENGINEERING (ECAE 2013), 2013, : 242 - 247
  • [3] V2G Optimal Scheduling of Multiple EV Aggregator Based on TOU Electricity Price
    Huang, Qihang
    Wang, Xiuli
    Fan, Jiajie
    Qi, Shixiong
    Zhang, Wei
    Zhu, Chengzhi
    2019 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2019 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2019,
  • [4] Impacts of G2V and V2G Power on Electricity Demand Profile
    Jain, Prateek
    Jain, Trapti
    2014 IEEE INTERNATIONAL ELECTRIC VEHICLE CONFERENCE (IEVC), 2014,
  • [5] Low-Carbon Scheduling of Integrated Electricity and Gas Distribution System Considering V2G
    Li, Yicheng
    Xu, Lixiong
    Lv, Xiangmei
    Xiao, Yiran
    ENERGIES, 2022, 15 (24)
  • [6] Coordinated scheduling strategy of electric vehicles for peak shaving considering V2G price incentive
    Wang M.
    Lü L.
    Xiang Y.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2022, 42 (04): : 27 - 33and85
  • [7] The V2G Process With the Predictive Model
    Mroczek, Bartlomiej
    Kolodynska, Amanda
    IEEE ACCESS, 2020, 8 : 86947 - 86956
  • [8] CVaR models for consumer price subsidy of V2G reserve considering user's risk aversion
    Huang S.
    Chen L.
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2019, 39 (08): : 1976 - 1990
  • [9] Agent Based Bidding Architecture in Electricity Markets for EVs as V2G and G2V
    Malik, Farhan H.
    Lehtonen, Matti
    2016 17TH INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING (EPE), 2016, : 170 - 175
  • [10] Economic potential of V2G in electricity markets - A systematic literature review
    Signer, Tim
    Unger, Felix
    Ruppert, Manuel
    Fichtner, Wolf
    2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC, 2023,
12345