Gamification-Based Vehicle-to-Grid Service for Demand Response: A Pilot Project in Jeju Island

被引:3
|
作者
Lee, Jin-Wook [1 ]
Park, Sung-Won [2 ]
Son, Sung-Yong [3 ]
机构
[1] Gachon Univ, Smart Energy Syst Convergence Res Inst, Seongnam 13120, South Korea
[2] Youngsan Univ, Dept Elect Engn, Yangsan 50510, South Korea
[3] Gachon Univ, Dept Elect Engn, Seongnam 13120, South Korea
关键词
BEV; gamification; grid flexibility; EVO; pilot; demand response; motivation; DRIVING BEHAVIOR;
D O I
10.1109/ACCESS.2024.3367359
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Battery electric vehicles (BEVs) are increasingly recognized as the key to the power industry's shift towards decentralization, carbon neutrality, and electrification because of their potential as flexible assets. Advances in grid integration, communication standards, smart charging, vehicle-to-grid technology, and electric vehicle service platforms are crucial for effectively leveraging BEVs. However, realizing these potential hinges on the active participation of electric vehicle owners, which is a vital yet challenging aspect. This study proposes a gamification-based incentive model to boost the participation of BEV owners in demand response programs, focusing on enhancing grid flexibility. A pilot project involving BEV drivers and charging-point operators was conducted on Jeju Island, South Korea. The significant contributions of this study include the development of both hardware and software systems for the gamification model and an ANOVA analysis to assess its impact. Compared with conventional economic incentives, the application of gamification-based incentives had effects of 13.8-69.2 percent from a demand increase perspective and 2.0-91.4 percent from a demand reduction perspective.
引用
收藏
页码:30209 / 30219
页数:11
相关论文
共 27 条
  • [1] A Consortium Blockchain-Based Energy Trading for Demand Response Management in Vehicle-to-Grid
    Aggarwal, Shubhani
    Kumar, Neeraj
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (09) : 9480 - 9494
  • [2] A Hierarchical Demand-Response Algorithm for Optimal Vehicle-to-Grid Coordination
    Cortes, Andres
    Martinez, Sonia
    2015 EUROPEAN CONTROL CONFERENCE (ECC), 2015, : 2420 - 2425
  • [3] Cost optimization of a microgrid considering vehicle-to-grid technology and demand response
    Beyazit, Muhammed Ali
    Tascikaraoglu, Akin
    Catalao, Joao P. S.
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 32
  • [4] Flexibility of Electric Vehicle Charging With Demand Response and Vehicle-to-Grid for Power System Benefit
    Jokinen, Ilkka
    Lehtonen, Matti
    IEEE ACCESS, 2024, 12 : 131419 - 131441
  • [5] Fair Management of Vehicle-to-Grid and Demand Response Programs in Local Energy Communities
    Silva, Catia
    Faria, Pedro
    Barreto, Ruben
    Vale, Zita
    IEEE ACCESS, 2023, 11 : 79851 - 79860
  • [6] Managing Vehicle-to-grid Mobile Energy Network as Demand Response in Power Systems
    Choudhury, Bhabani Kumari
    Debbarma, Sanjoy
    2018 2ND INTERNATIONAL CONFERENCE ON POWER, ENERGY AND ENVIRONMENT: TOWARDS SMART TECHNOLOGY (ICEPE), 2018,
  • [7] Vehicle-to-Grid Service Potential with Price Based PEV Charging/Discharging
    Tehrani, Nima H.
    Shrestha, G. B.
    Wang, Peng
    2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [8] Menu-Based Pricing for Profitable Electric Vehicle Charging with Vehicle-to-Grid Service
    Ghosh, Arnob
    Aggarwal, Vaneet
    2018 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS (SPCOM 2018), 2018, : 237 - 241
  • [9] Utilization of electric vehicle fleets in industrial demand response considering vehicle-to-grid benefits and battery degradation
    Leippi, Andre
    Fleschutz, Markus
    Davis, Kevin
    Murphy, Michael D.
    2022 18TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM, 2022,
  • [10] Menu-Based Pricing for Charging of Electric Vehicles With Vehicle-to-Grid Service
    Ghosh, Arnob
    Aggarwal, Vaneet
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (11) : 10268 - 10280