IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v334y2023ics0306261923000533.html
   My bibliography  Save this article

Decentralized local electricity market model using Automated Market Maker

Author

Listed:
  • K.C., Bevin
  • Verma, Ashu

Abstract

The desire of prosumers to participate in the markets has led to the setting up of Decentralized Local Electricity Markets (DLEM). These markets are usually confined to a small geographical location, often with a small number of participants. Such markets have very low liquidity for participants to trade, so price discovery becomes a cumbersome process. To solve the issue of market liquidity, this paper introduces a DLEM model where market participants can trade with a Liquidity Pool (LP) created by Energy Storage Units (ESU). The market model provides iteration-free price discovery by using an Automated Market Maker (AMM) protocol, which automatically updates energy price in the LP based on demand–supply balance. The efficiency of AMM is further improved using the concept of concentrated liquidity by restricting the trading range. A network loss compensation method is applied to ensure DLEM transactions do not affect the power contracts already committed. Simulation studies are conducted on IEEE 33 bus and 123 bus distribution networks for various energy demand scenarios to show operation of the proposed market model.

Suggested Citation

  • K.C., Bevin & Verma, Ashu, 2023. "Decentralized local electricity market model using Automated Market Maker," Applied Energy, Elsevier, vol. 334(C).
  • Handle: RePEc:eee:appene:v:334:y:2023:i:c:s0306261923000533
    DOI: 10.1016/j.apenergy.2023.120689
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923000533
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.120689?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bongaerts, Dion & Achter, Mark Van, 2021. "Competition among liquidity providers with access to high-frequency trading technology," Journal of Financial Economics, Elsevier, vol. 140(1), pages 220-249.
    2. Clapham, Benjamin & Gomber, Peter & Lausen, Jens & Panz, Sven, 2021. "Liquidity provider incentives in fragmented securities markets," Journal of Empirical Finance, Elsevier, vol. 60(C), pages 16-38.
    3. Foti, Magda & Vavalis, Manolis, 2019. "Blockchain based uniform price double auctions for energy markets," Applied Energy, Elsevier, vol. 254(C).
    4. Mehdinejad, Mehdi & Shayanfar, Heidarali & Mohammadi-Ivatloo, Behnam, 2022. "Peer-to-peer decentralized energy trading framework for retailers and prosumers," Applied Energy, Elsevier, vol. 308(C).
    5. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    6. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    7. Kuppelwieser, Thomas & Wozabal, David, 2021. "Liquidity costs on intraday power markets: Continuous trading versus auctions," Energy Policy, Elsevier, vol. 154(C).
    8. Ye, Liang-Cheng & Rodrigues, João F.D. & Lin, Hai Xiang, 2017. "Analysis of feed-in tariff policies for solar photovoltaic in China 2011–2016," Applied Energy, Elsevier, vol. 203(C), pages 496-505.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hosseini Dolatabadi, Sayed Hamid & Bhuiyan, Tanveer Hossain & Chen, Yang & Morales, Jose Luis, 2024. "A stochastic game-theoretic optimization approach for managing local electricity markets with electric vehicles and renewable sources," Applied Energy, Elsevier, vol. 368(C).
    2. Nipun Agarwal & Pornpit Wongthongtham & Neerajkumari Khairwal & Kevin Coutinho, 2023. "Blockchain Application to Financial Market Clearing and Settlement Systems," JRFM, MDPI, vol. 16(10), pages 1-19, October.
    3. Sebastián Arias & Adriana M. Santa-Alvarado & Harold Salazar, 2024. "The Impact of a Market Maker in an Electricity Market," Energies, MDPI, vol. 17(16), pages 1-18, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Juan & Zheng, Junjun & Yu, Liukai & Goh, Mark & Tang, Yunying & Huang, Yongchao, 2023. "Distributed Reputation-Distance iterative auction system for Peer-To-Peer power trading," Applied Energy, Elsevier, vol. 345(C).
    2. Maarten Evens & Patricia Ercoli & Alessia Arteconi, 2023. "Blockchain-Enabled Microgrids: Toward Peer-to-Peer Energy Trading and Flexible Demand Management," Energies, MDPI, vol. 16(18), pages 1-24, September.
    3. Tushar, Wayes & Saha, Tapan Kumar & Yuen, Chau & Azim, M. Imran & Morstyn, Thomas & Poor, H. Vincent & Niyato, Dustin & Bean, Richard, 2020. "A coalition formation game framework for peer-to-peer energy trading," Applied Energy, Elsevier, vol. 261(C).
    4. Han, Dong & Zhang, Chengzhenghao & Ping, Jian & Yan, Zheng, 2020. "Smart contract architecture for decentralized energy trading and management based on blockchains," Energy, Elsevier, vol. 199(C).
    5. Irtisam, Rasheek & Sokolov, Konstantin, 2023. "Do stock exchanges specialize? Evidence from the New Jersey transaction tax proposal," Journal of Banking & Finance, Elsevier, vol. 154(C).
    6. Benjamin Clapham & Martin Haferkorn & Kai Zimmermann, 2023. "The Impact of High-Frequency Trading on Modern Securities Markets," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(1), pages 7-24, February.
    7. Yang, Jiawei & Paudel, Amrit & Gooi, Hoay Beng & Nguyen, Hung Dinh, 2021. "A Proof-of-Stake public blockchain based pricing scheme for peer-to-peer energy trading," Applied Energy, Elsevier, vol. 298(C).
    8. Sara Hebal & Djamila Mechta & Saad Harous & Mohammed Dhriyyef, 2021. "Hybrid Energy Routing Approach for Energy Internet," Energies, MDPI, vol. 14(9), pages 1-34, April.
    9. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K. & Yuen, Chau & Smith, David, 2022. "Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    10. López, Iraide & Goitia-Zabaleta, Nerea & Milo, Aitor & Gómez-Cornejo, Julen & Aranzabal, Itxaso & Gaztañaga, Haizea & Fernandez, Elvira, 2024. "European energy communities: Characteristics, trends, business models and legal framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    11. Xiuli Wang & Fang Yao & Fushuan Wen, 2022. "Applications of Blockchain Technology in Modern Power Systems: A Brief Survey," Energies, MDPI, vol. 15(13), pages 1-22, June.
    12. Roth, Tamara & Utz, Manuel & Baumgarte, Felix & Rieger, Alexander & Sedlmeir, Johannes & Strüker, Jens, 2022. "Electricity powered by blockchain: A review with a European perspective," Applied Energy, Elsevier, vol. 325(C).
    13. Lee, Minwoo & Han, Changho & Kwon, Soonbum & Kim, Yongchan, 2023. "Energy and cost savings through heat trading between two massive prosumers using solar and ground energy systems connected to district heating networks," Energy, Elsevier, vol. 284(C).
    14. Umer, Khalid & Huang, Qi & Khorasany, Mohsen & Afzal, Muhammad & Amin, Waqas, 2021. "A novel communication efficient peer-to-peer energy trading scheme for enhanced privacy in microgrids," Applied Energy, Elsevier, vol. 296(C).
    15. Tushar, Wayes & Saha, Tapan Kumar & Yuen, Chau & Morstyn, Thomas & McCulloch, Malcolm D. & Poor, H. Vincent & Wood, Kristin L., 2019. "A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid," Applied Energy, Elsevier, vol. 243(C), pages 10-20.
    16. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    17. Lausen, Jens & Clapham, Benjamin & Gomber, Peter & Bender, Micha, 2022. "Drivers and effects of stock market fragmentation - Insights on SME stocks," SAFE Working Paper Series 367, Leibniz Institute for Financial Research SAFE.
    18. Hui Huang & Shilin Nie & Jin Lin & Yuanyuan Wang & Jun Dong, 2020. "Optimization of Peer-to-Peer Power Trading in a Microgrid with Distributed PV and Battery Energy Storage Systems," Sustainability, MDPI, vol. 12(3), pages 1-20, January.
    19. Hosseini Dolatabadi, Sayed Hamid & Bhuiyan, Tanveer Hossain & Chen, Yang & Morales, Jose Luis, 2024. "A stochastic game-theoretic optimization approach for managing local electricity markets with electric vehicles and renewable sources," Applied Energy, Elsevier, vol. 368(C).
    20. Banerjee, Anirban & Nawn, Samarpan, 2024. "Proprietary algorithmic traders and liquidity supply during the pandemic," Finance Research Letters, Elsevier, vol. 61(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:334:y:2023:i:c:s0306261923000533. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.