Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/16977
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dc.contributor.authorShrivastava, Pragyaen_US
dc.contributor.authorHubballi, Neminathen_US
dc.date.accessioned2025-10-23T12:41:59Z-
dc.date.available2025-10-23T12:41:59Z-
dc.date.issued2025-
dc.identifier.citationShrivastava, 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.2025.101965en_US
dc.identifier.issn2352-4677-
dc.identifier.otherEID(2-s2.0-105016316957)-
dc.identifier.urihttps://dx.doi.org/10.1016/j.segan.2025.101965-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/16977-
dc.description.abstractContinuous 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.en_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.sourceSustainable Energy, Grids and Networksen_US
dc.subjectContinuous Double Auctionen_US
dc.subjectPeer-to-peer Tradingen_US
dc.subjectToken Distributionen_US
dc.subjectElectronic Commerceen_US
dc.subjectElectronic Tradingen_US
dc.subjectGrid Computingen_US
dc.subjectPower Marketsen_US
dc.subjectSmart Power Gridsen_US
dc.subjectBuyers And Sellersen_US
dc.subjectContinuous Double Auctionen_US
dc.subjectMatchingsen_US
dc.subjectMicrogriden_US
dc.subjectOrder Violationsen_US
dc.subjectPeer To Peeren_US
dc.subjectPeer-to-peer Tradingen_US
dc.subjectSmart Griden_US
dc.subjectSmart Grid Networksen_US
dc.subjectToken Distributionen_US
dc.subjectPeer To Peer Networksen_US
dc.titleCooperative trading in smart-grid networksen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Computer Science and Engineering

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