Negotiation Algorithms for Peer-to-Peer Electricity Markets: Computational Properties

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2018Researchpeer-review

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Building on the concepts of transactive energy and consumer-centric electricity markets, the interest in community based and peer-to-peer structures to energy transactions and management has substantially increased over the last few years. However, several computational challenges are to be tackled in order for these approaches to be deployed in real-world applications. Our aim here is to identify and analyze these challenges, by comparing distributed community-based market approaches to decentralized and distributed versions of peer to-peer electricity markets. We show convergence trends of the investigated algorithms as well as how they respond to larger number of participants and presence of asynchronicities. Our findings highlight the practical challenges to face with these setups, in particular with peer-to-peer markets, justifying the further proposal of hybrid approaches and of sparsification of negotiation processes.
Original languageEnglish
Title of host publicationProceedings of 2018 Power Systems Computation Conference
PublisherIEEE
Publication date2018
Pages7 pp.
ISBN (Print)9781910963104
DOIs
Publication statusPublished - 2018
Series2018 Power Systems Computation Conference (pscc)
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Peer-to-peer markets, Distributed optimization, Economic dispatch, Community-based markets

ID: 159163078