Interactive Energy: an Approach for the Dynamic Pricing and Dispatching of EV Charging Service

被引:0
|
作者
Sbordone, Danilo Antonio [1 ]
Falvo, Maria Carmen [1 ]
Martirano, Luigi [1 ]
Devetsikiotis, Michael [2 ]
Di Pietra, Biagio [3 ]
机构
[1] Univ Sapienza Rome, DIAEE Elect Engn, Rome, Italy
[2] North Carolina State Univ, Elect & Comp Engn Dept, Raleigh, NC 27695 USA
[3] Energy & Sustainable Econ Dev ENEA, Rome, Italy
关键词
Information and Communication Technologies; Micro-grids; Power Systems; Storage; Electrical Vehicles;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper proposes a new idea, called "Interactive Energy", for the dynamic pricing and dispatching of the charging services of Electric Vehicles (EVs) in a micro-grid. In the proposed approach, the customers can choose their recharge time through an interactive application able to indicate different recharge times and related prices in function of the real time conditions of the micro-grid. The available power at each charging station is conditioned to the grid conditions and the prices change as a function of the requested energy, power and local renewable energy produced in the micro-grid. In the paper, a statistical model is proposed and applied for analyzing the impact that the proposed system can have on the power grid. The proposed system can gain ground with the ongoing battery improvements: the recharging times for EVs could become comparable to the present fuel stop times at the gas station through the continuous improvement of the battery technologies.
引用
收藏
页码:3556 / 3562
页数:7
相关论文
共 50 条
  • [1] Pricing EV charging service with demand charge
    Lee, Zachary J.
    Pang, John Z. F.
    Low, Steven H.
    ELECTRIC POWER SYSTEMS RESEARCH, 2020, 189
  • [2] Dynamic pricing in EV charging stations with renewable energy and battery storage
    Silva, Carlos A. M.
    Andrade, Jose R.
    Bessa, Ricardo J.
    Lobo, Filipe
    2024 20TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM 2024, 2024,
  • [3] Dynamic Pricing for EV Charging Stations: A Deep Reinforcement Learning Approach
    Zhao, Zhonghao
    Lee, Carman K. M.
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (02): : 2456 - 2468
  • [4] Stochastic Dynamic Pricing for EV Charging Stations With Renewable Integration and Energy Storage
    Luo, Chao
    Huang, Yih-Fang
    Gupta, Vijay
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (02) : 1494 - 1505
  • [5] Dynamic Pricing and Energy Management Strategy for EV Charging Stations under Uncertainties
    Luo, Chao
    Huang, Yih-Fang
    Gupta, Vijay
    VEHITS: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS, 2016, : 49 - 59
  • [6] A Reinforcement Learning Approach for EV Charging Station Dynamic Pricing and Scheduling Control
    Wang, Shuoyao
    Bi, Suzhi
    Zhang, Ying-Jun Angela
    2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [7] Dynamic Pricing Model for EV Charging-Discharging Service Based on Cloud Computing Scheduling
    Chekired, Djabir Abd Eldjalil
    Dhaou, Said
    Khoukhi, Lyes
    Mouftah, Hussein T.
    2017 13TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2017, : 1010 - 1015
  • [8] Optimal EV Charging and Discharging Control Considering Dynamic Pricing
    Bitencourt, Leonardo de A.
    Borba, Bruno S. M. C.
    Maciel, Renan S.
    Fortes, Marcio Z.
    Ferreira, Vitor H.
    2017 IEEE MANCHESTER POWERTECH, 2017,
  • [9] Dynamic pricing and control for EV charging stations with solar generation
    Cedillo, Monica Hernandez
    Sun, Hongjian
    Jiang, Jing
    Cao, Yue
    APPLIED ENERGY, 2022, 326
  • [10] Dynamic EV Charging Pricing Methodology for Facilitating Renewable Energy With Consideration of Highway Traffic Flow
    Zhou, Suyang
    Qiu, Yue
    Zou, Fenghua
    He, Di
    Yu, Peng
    Du, Jinqiao
    Luo, Xiner
    Wang, Chengliang
    Wu, Zhi
    Gu, Wei
    IEEE ACCESS, 2020, 8 (08): : 13161 - 13178