Transactive Energy Trading of Residential Prosumers Using Battery Energy Storage Systems

被引:0
|
作者
Nizami, M. S. H. [1 ]
Hossain, M. J. [1 ]
Amin, B. M. Ruhul [1 ]
Kashif, Muhammad [1 ]
Fernandez, Edstan [1 ]
Mahmud, Khizir [2 ]
机构
[1] Macquarie Univ, Sch Engn, N Ryde, NSW, Australia
[2] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW, Australia
来源
关键词
Transactive Energy; Demand Response; P2P Energy Trading; Distributed Energy Resources; Battery Energy Storage Systems; Bi-level optimization; DEMAND RESPONSE; MANAGEMENT; NEIGHBORHOOD;
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
In a transactive energy (TE) framework, prosumers can participate in peer-to-peer (P2P) energy trading with neighbors. TE also allows prosumers to participate in grid services by trading their excess energy or energy consumption flexibility with the grid operators, energy suppliers, and third-party energy companies (e.g. Aggregators). This paper presents a novel bidding strategy for small-scale residential prosumers for energy trading in the day-ahead TE market using the flexibilities of residential battery energy storage systems to maximize the profit from energy trading. The bidding model is formulated as a bi-level optimization problem that determines energy trading bids to maximize profits for the prosumer in the upper level, while the lower-level problem schedules the operation of residential storage units with respect to minimum storage degradation and optimum user comfort. A comprehensive storage model is developed that incorporates the operational constraints and the degradation of storage units when they undergo frequent charge-discharge cycles for the energy trading. The proposed bidding model is evaluated via a case study for a typical Australian prosumer and results indicate the efficacy of the proposed model in terms of profit maximization for the prosumer while satisfying user preferences and constraints related to the operation of the storage units.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Photovoltaic energy systems with battery storage for residential areas: an economic analysis
    Cucchiella, Federica
    D'Adamo, Idiano
    Gastaldi, Massimo
    JOURNAL OF CLEANER PRODUCTION, 2016, 131 : 460 - 474
  • [32] Aggregator Service for PV and Battery Energy Storage Systems of Residential Building
    Li, Jianing
    Wu, Zhi
    Zhou, Suyang
    Fu, Hao
    Zhang, Xiao-Ping
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2015, 1 (04): : 3 - 11
  • [33] Distributed and Decentralized Control of Residential Energy Systems Incorporating Battery Storage
    Worthmann, Karl
    Kellett, Christopher M.
    Braun, Philipp
    Gruene, Lars
    Weller, Steven R.
    IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (04) : 1914 - 1923
  • [34] Energy Management Strategy in a Residential Battery Energy Storage System
    Galatsopoulos, Charalampos
    Papadopoulou, Simira
    Ziogou, Chrysovalantou
    Voutetakis, Spyros
    2018 26TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2018, : 831 - 836
  • [35] Improving voltage profile of residential distribution systems using rooftop PVs and Battery Energy Storage systems
    Kabir, M. N.
    Mishra, Y.
    Ledwich, G.
    Xu, Z.
    Bansal, R. C.
    APPLIED ENERGY, 2014, 134 : 290 - 300
  • [36] Peer-to-peer transactive mechanism for residential shared energy storage
    Zhang, Wen-Yi
    Zheng, Boshen
    Wei, Wei
    Chen, Laijun
    Mei, Shengwei
    ENERGY, 2022, 246
  • [37] Feasibility of Residential Battery Storage for Energy Arbitrage
    Byrne, C.
    Verbic, G.
    2013 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2013,
  • [38] Optimal Energy Trading with Battery Energy Storage under Dynamic Pricing
    Tan, Xiaoqi
    Wu, Yuan
    Tsang, Danny H. K.
    2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 722 - 727
  • [39] Mental accounting theory-based bounded-rationality trading strategy of prosumers in transactive energy market
    Jing, Xinyi
    Song, Meng
    Gao, Ciwei
    Yao, Yunting
    Cai, Yunfeng
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (12) : 2876 - 2893
  • [40] Smart Grid 2.0: Modeling Peer-to-Peer Trading Community and Incentives for Prosumers in the Transactive Energy Grid
    Khayyat, Manal Mahmoud
    Ben Slama, Sami
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2024, 14 (02) : 13470 - 13480