Mental accounting theory-based bounded-rationality trading strategy of prosumers in transactive energy market

被引:1
|
作者
Jing, Xinyi [1 ]
Song, Meng [1 ]
Gao, Ciwei [1 ]
Yao, Yunting [1 ]
Cai, Yunfeng [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
mental accounting theory; prosumers; trading decision-making; transactive energy market; SOCIAL ATTRIBUTES; ELECTRICITY; GAME; PSYCHOLOGY;
D O I
10.1049/gtd2.12864
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the transactive energy market (TEM), prosumers are assumed to be rational. However, prosumers' trading behaviours are affected by many factors (e.g. social relations, personal preferences, and habits). Their trading demands vary in benefits, comfort levels, and environmental consciousness, which show bounded rationality. Accordingly, this paper introduces the mental accounting theory to develop a trading decision-making method by characterizing prosumers' actual trading behaviours. It quantified prosumers' motivations and psychological changes by the risk attitude and subjective value models in the process of multi-account management. The updating rules of trading decisions and multi-round bidding market mechanism are also designed to improve the social welfare and market efficiency. Case studies demonstrate that the proposed method can make prosumers trade in TEM under their actual intentions and bounded-rationality. And the market mechanism can help to increase social welfare and market efficiency.
引用
收藏
页码:2876 / 2893
页数:18
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共 33 条
  • [1] Auction Based Energy Trading in Transactive Energy Market with Active Participation of Prosumers and Consumers
    Khorasany, Mohsen
    Mishra, Yateendra
    Ledwich, Gerard
    [J]. 2017 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2017,
  • [2] Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment
    Jiang, Yanni
    Zhou, Kaile
    Lu, Xinhui
    Yang, Shanlin
    [J]. APPLIED ENERGY, 2020, 271
  • [3] Pricing Strategy for Energy Supplement Services of Hybrid Electric Vehicles Considering Bounded-Rationality and Energy Substitution Effect
    Lai, Shuying
    Qiu, Jing
    Tao, Yuechuan
    Zhao, Junhua
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (04) : 2973 - 2985
  • [4] Behavior of prosumers in Smart Grid: A comparison of Net Energy Metering and Billing Schemes, and Game Theory-based Local Electricity Market
    Forcan, Jovana
    Forcan, Miodrag
    [J]. SUSTAINABLE ENERGY GRIDS & NETWORKS, 2023, 34
  • [5] Peer-to-peer energy trading strategy for prosumers based on model predictive control
    Zhou, Wei
    Gao, Yao
    Peng, Feixiang
    Wu, Jianzhong
    Dang, Wei
    Liu, Ying
    Wang, Zhonghui
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (09): : 1 - 10
  • [6] Game theory based bidding strategy for prosumers in a distribution system with a retail electricity market
    Liang, Zheming
    Su, Wencong
    [J]. IET SMART GRID, 2018, 1 (03) : 104 - 111
  • [7] Energy Saving through Cooperation using Game Theory-based Trading Model
    Nascimento, Alberto
    Radwan, Ayman
    Rodriguez, Jonathan
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [8] Comparison of accounting theory-based methods for transmission payment calculation in electric power market
    Liu, Hong-Bo
    Mu, Gang
    Liu, Ming
    Yu, You
    Cao, Jian-Jun
    [J]. Dianli Zidonghua Shebei / Electric Power Automation Equipment, 2005, 25 (11):
  • [9] Bounded Rationality Based Multi-VPP Trading in Local Energy Markets: A Dynamic Game Approach with Different Trading Targets
    Gao, Hongjun
    Zhang, Fan
    Xiang, Yingmeng
    Ye, Shengyong
    Liu, Xuna
    Liu, Junyong
    [J]. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (01): : 221 - 234
  • [10] Research on Distributed Energy Trading Strategy Based on Game Theory
    Cong, Lin
    Zhou, Xichao
    Li, Na
    Zhu, Haifeng
    Fan, Ying
    Bu, Lingxi
    [J]. 2022 INTERNATIONAL CONFERENCE ON BIG DATA, INFORMATION AND COMPUTER NETWORK (BDICN 2022), 2022, : 439 - 446