Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/16977
Title: Cooperative trading in smart-grid networks
Authors: Shrivastava, Pragya
Hubballi, Neminath
Keywords: Continuous Double Auction;Peer-to-peer Trading;Token Distribution;Electronic Commerce;Electronic Trading;Grid Computing;Power Markets;Smart Power Grids;Buyers And Sellers;Continuous Double Auction;Matchings;Microgrid;Order Violations;Peer To Peer;Peer-to-peer Trading;Smart Grid;Smart Grid Networks;Token Distribution;Peer To Peer Networks
Issue Date: 2025
Publisher: Elsevier Ltd
Citation: Shrivastava, P., Hubballi, N., & Kulkarni, S. G. (2025). Cooperative trading in smart-grid networks. Sustainable Energy, Grids and Networks, 44. https://doi.org/10.1016/j.segan.2025.101965
Abstract: Continuous Double Auction (CDA) methods provide an efficient mechanism for price matching between buyers and sellers. Hence, these techniques have been adopted in smart-grid and micro-grid scenarios for Peer-to-Peer (P2P) energy trading. However, existing CDA methods either violate the natural ordering of P2P trading or introduce considerable overhead or make unrealistic assumptions about the underlying communication setup. In this paper, we introduce a CDA method involving trading agents that are coordinated with token allocation system for participation in the smart-grid market. Our proposed trading mechanism minimizes the natural order violations in the trading, and can recover from issues like token loss arising due to node or network connectivity issues. We provide algorithms for different operations of the CDA such as token request, token allocation, trading, etc. The proposed CDA mechanism has been evaluated with publicly available energy demand data and compared with another CDA method to show that it reduces natural ordering violations. Subsequently, we describe a variant of the CDA method where bids/asks from different participants are queued up for potential future price matches, thereby elaborating the scope for P2P trade. Both CDA variants can scale to large number of participants and can also work with heterogeneous bidding strategies adopted by clients. © 2025 Elsevier B.V., All rights reserved.
URI: https://dx.doi.org/10.1016/j.segan.2025.101965
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/16977
ISSN: 2352-4677
Type of Material: Journal Article
Appears in Collections:Department of Computer Science and Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: