User-Centric Peer-to-Peer Energy Trading Mechanisms for Residential Microgrids

被引:0
|
作者
Wu, Shunxiang [1 ]
Zhang, Fangfei [1 ]
Li, Danlin [1 ]
机构
[1] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
关键词
Peer-to-peer energy trade; active distribution network; demand side management; power market; smart grid;
D O I
暂无
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
With the increasing prevalence of distributed generation, energy trading in distribution side starts to attract academic attentions. This paper proposes two user-centric pricing strategies for facilitating peer-to-peer energy trading in residential microgrids: Unified Pricing (UP) strategy and Identified Pricing (IP) strategy. The proposed strategies aim to maximize the profit of small-scale distributed energy resources owners while taking into account the user's life convenience and solar photovoltaic uncertainty. UP strategy includes a centralized market pool that determines the market clearing price at a regular time interval; IP strategy identifies each energy transaction with difference on different time based on consumers' bid. The auction algorithm is used for solving the energy allocation to achieve best social welfare in the community microgrid. Numerical studies based on 15 simulated residential users are conducted to validate the reasonability and effectiveness of the proposed methods.
引用
收藏
页码:704 / 709
页数:6
相关论文
共 50 条
  • [21] Comparative Double Auction Approach for Peer-to-Peer Energy Trading on Multiple microgrids
    Malik S.
    Thakur S.
    Duffy M.
    Breslin J.G.
    Smart Grids and Sustainable Energy, 2023, 8 (04)
  • [22] Dynamic Programming Based Peer-to-Peer Energy Trading Framework for Smart Microgrids
    Kalysh, I.
    Alimkhan, A.
    Temirtayev, I.
    Nunna, H. S. V. S. Kumar
    Doolla, Suryanarayana
    Vipin, Kizheppatt
    2019 IEEE 13TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS AND POWER ENGINEERING (CPE-POWERENG), 2019,
  • [23] Strategic Prosumers based Peer-to-Peer Energy Market Design for Residential Microgrids
    Zhang, Zhenyuan
    Tang, Haoyue
    Huang, Qi
    Lee, Wei-Jen
    2020 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2020,
  • [24] Peer-to-Peer energy trading in a Microgrid
    Zhang, Chenghua
    Wu, Jianzhong
    Zhou, Yue
    Cheng, Meng
    Long, Chao
    APPLIED ENERGY, 2018, 220 : 1 - 12
  • [25] Yours, mine, and ours: A user-centric analysis of opportunities and challenges in peer-to-peer asset sharing
    Wilhelms, Mark-Philipp
    Merfeld, Katrin
    Henkel, Sven
    BUSINESS HORIZONS, 2017, 60 (06) : 771 - 781
  • [26] Deep reinforcement learning for energy trading and load scheduling in residential peer-to-peer energy trading market
    Wang, Jiatong
    Li, Li
    Zhang, Jiangfeng
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 147
  • [27] A peer-to-peer energy trading market embedded with residential shared energy storage units
    Zheng, Boshen
    Wei, Wei
    Chen, Yue
    Wu, Qiuwei
    Mei, Shengwei
    APPLIED ENERGY, 2022, 308
  • [28] Intraday Residential Demand Response Scheme Based on Peer-to-Peer Energy Trading
    Liu, Weijia
    Qi, Donglian
    Wen, Fushuan
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (03) : 1823 - 1835
  • [29] Peer-to-Peer Energy Trading for Residential Prosumers With Photovoltaic and Battery Storage Systems
    Wang, Jiatong
    Zhang, Jiangfeng
    Li, Li
    Lin, Yunfeng
    IEEE SYSTEMS JOURNAL, 2023, 17 (01): : 154 - 163
  • [30] Peer-to-Peer Multienergy and Communication Resource Trading for Interconnected Microgrids
    Xu, Da
    Zhou, Bin
    Liu, Nian
    Wu, Qiuwei
    Voropai, Nikolai
    Li, Canbing
    Barakhtenko, Evgeny
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (04) : 2522 - 2533