Fuzzy Based Energy Management System for a Micro-grid with a V2G Parking Lot

被引:4
作者
Shakeel, Femina Mohammed [1 ]
Malik, Om P. [1 ]
机构
[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada
来源
2020 IEEE ELECTRIC POWER AND ENERGY CONFERENCE (EPEC) | 2020年
关键词
DC fast charging; energy management; fuzzy logic control; micro-grid; vehicle-to-grid; ELECTRIC VEHICLES;
D O I
10.1109/EPEC48502.2020.9320112
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
A fuzzy based intelligent energy management system (EMS) to utilize electric vehicle (EV) batteries for energy storage services in a micro-grid is proposed in this paper. A dc fast charging station is used to interconnect EVs to the micro-grid. The fuzzy logic controller determines the energy available with each EV to participate in vehicle-to-grid (V2G) and grid-to-vehicle (G2V) services, based on the battery state of charge, rated capacity and time remaining for departure of each EV. The EMS algorithm then allocates the balance power in the micro-grid to the available EV batteries without impairing the owner's driving needs. Different case studies have been simulated in MATLAB/SIMULINK environment by varying the load, generation and number of EVs available at the parking lot. The obtained results verify the effectiveness of the proposed approach in maintaining an optimal power balance in the system under different operating conditions.
引用
收藏
页数:5
相关论文
共 8 条
  • [1] Ferreira RJ, 2011, IEEE PES INNOV SMART
  • [2] Fast EV charging station integration with grid ensuring optimal and quality power exchange
    Khan, Wajahat
    Ahmad, Furkan
    Alam, Mohammad Saad
    [J]. ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2019, 22 (01): : 143 - 152
  • [3] Kumar KN, 2012, 2012 CONFERENCE ON POWER & ENERGY - IPEC, P480
  • [4] Coordination of the Charging of Electric Vehicles Using a Multi-Agent System
    Papadopoulos, Panagiotis
    Jenkins, Nick
    Cipcigan, Liana M.
    Grau, Inaki
    Zabala, Eduardo
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (04) : 1802 - 1809
  • [5] Wind power smoothing using demand response of electric vehicles
    Raoofat, M.
    Saad, M.
    Lefebvre, S.
    Asber, D.
    Mehrjedri, H.
    Lenoir, L.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 99 : 164 - 174
  • [6] Managing Electric Vehicles in the Smart Grid Using Artificial Intelligence: A Survey
    Rigas, Emmanouil S.
    Ramchurn, Sarvapali D.
    Bassiliades, Nick
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (04) : 1619 - 1635
  • [7] Shakeel F. M, 2019, CAN C EL COMP ENG, P401
  • [8] Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques
    Tan, Kang Miao
    Ramachandaramurthy, Vigna K.
    Yong, Jia Ying
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 53 : 720 - 732