A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets

被引:36
|
作者
Khorasany, Mohsen [1 ]
Gazafroudi, Amin Shokri [2 ,3 ]
Razzaghi, Reza [1 ]
Morstyn, Thomas [4 ]
Shafie-khah, Miadreza [5 ]
机构
[1] Monash Univ, Dept Elect & Comp Syst Engn, Clayton, Vic 3800, Australia
[2] Karlsruhe Inst Technol KIT, Inst Automat & Appl Informat, D-76131 Karlsruhe, Germany
[3] OLI Syst GmbH, Speyerer Str 90, D-67376 Harthausen, Germany
[4] Univ Edinburgh, Sch Engn, Edinburgh EH8 9YL, Midlothian, Scotland
[5] Univ Vaasa, Sch Technol & Innovat, Vaasa 65200, Finland
关键词
Decentralized optimization; Energy flexibility; Iterative double auction; Local energy market; Peer-to-peer energy trading; MANAGEMENT; DESIGN; FAIR;
D O I
10.1016/j.apenergy.2022.118907
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
As the owners of distributed energy resources (DER), prosumers can actively manage their power supply and consumption and partake in new energy services. In order to enable prosumers to benefit from their participation in energy services, innovative market models need to be designed. This paper proposes a framework for local energy and flexibility trading within distribution networks, in which prosumers participate in a peer-to-peer (P2P) market to trade energy with each other based on their preferences. The P2P market is cleared in a decentralized manner with direct interaction of seller and buyer prosumers. Then, the distribution system operator (DSO) checks the network constraints based on the energy scheduling of prosumers. If the network constraints are not satisfied, the DSO calculates the flexibility that is required in each feeder to avoid network issues. Triggered by the requested flexibility by the DSO, prosumers in each feeder form a community and participate in a flexibility market, in which they can offer their flexibility in response to the DSO's request. An iterative auction is employed to clear the flexibility market, which enables the prosumers to independently decide on their offered flexibility, while the DSO adjusts the flexibility price to minimize its costs. The proposed framework is tested on a real-world distribution network. Simulations based on a number of case studies indicate that through the proposed framework, the DSO can avoid network constraints violation by employing prosumers' flexibility. Besides, participation in the P2P and flexibility trading reduces the net energy costs of the prosumers in different community by an average of 17.09%.
引用
下载
收藏
页数:10
相关论文
共 50 条
  • [21] Prosumers Matching and Least-Cost Energy Path Optimisation for Peer-to-Peer Energy Trading
    Jogunola, Olamide
    Wang, Weizhuo
    Adebisi, Bamidele
    IEEE ACCESS, 2020, 8 : 95266 - 95277
  • [22] A New Vision on the Prosumers Energy Surplus Trading Considering Smart Peer-to-Peer Contracts
    Neagu, Bogdan-Constantin
    Ivanov, Ovidiu
    Grigoras, Gheorghe
    Gavrilas, Mihai
    MATHEMATICS, 2020, 8 (02)
  • [23] Demand response-based peer-to-peer energy trading among the prosumers and consumers
    Kanakadhurga, Dharmaraj
    Prabaharan, Natarajan
    ENERGY REPORTS, 2021, 7 : 7825 - 7834
  • [24] Peer-to-Peer Energy Trading for PV Prosumers using Fuzzy Logic Inference Systems
    Lopez, Hector
    Zilouchian, Ali
    2023 IEEE 50TH PHOTOVOLTAIC SPECIALISTS CONFERENCE, PVSC, 2023,
  • [25] A coalition formation game framework for peer-to-peer energy trading
    Tushar, Wayes
    Saha, Tapan Kumar
    Yuen, Chau
    Azim, M. Imran
    Morstyn, Thomas
    Poor, H. Vincent
    Niyato, Dustin
    Bean, Richard
    APPLIED ENERGY, 2020, 261
  • [26] An Efficient Peer-to-Peer Energy-Sharing Framework for Numerous Community Prosumers
    Cui, Shichang
    Wang, Yan-Wu
    Shi, Yang
    Xiao, Jiang-Wen
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (12) : 7402 - 7412
  • [27] Automated Negotiation for Peer-to-Peer Electricity Trading in Local Energy Markets
    Etukudor, Christie
    Couraud, Benoit
    Robu, Valentin
    Fruh, Wolf-Gerrit
    Flynn, David
    Okereke, Chinonso
    ENERGIES, 2020, 13 (04)
  • [28] Peer-to-Peer Energy Markets: Understanding the Values of Collective and Community Trading
    Wilkins, Denise J.
    Chitchyan, Ruzanna
    Levine, Mark
    PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), 2020,
  • [29] A Review of Peer-to-Peer Energy Trading Markets: Enabling Models and Technologies
    Islam, Shama Naz
    ENERGIES, 2024, 17 (07)
  • [30] A Decentralized Bilateral Energy Trading System for Peer-to-Peer Electricity Markets
    Khorasany, Mohsen
    Mishra, Yateendra
    Ledwich, Gerard
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (06) : 4646 - 4657