Conference paper
Negotiation Algorithms for Peer-to-Peer Electricity Markets: Computational Properties
Department of Electrical Engineering, Technical University of Denmark1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark3
École normale supérieure de Rennes4
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.
Language: | English |
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Publisher: | IEEE |
Year: | 2018 |
Pages: | 1-7 |
Proceedings: | 20th Power Systems Computation Conference |
ISBN: | 1538615835 , 1910963097 , 1910963100 , 9781538615836 , 9781910963098 and 9781910963104 |
Types: | Conference paper |
DOI: | 10.23919/PSCC.2018.8442914 |
ORCIDs: | Moret, Fabio and Pinson, P. |
Computational modeling Convergence Economics Electricity supply industry Optimization Peer-to-peer computing Tuning consumer-centric electricity markets distributed community-based market approaches energy management energy management systems energy transactions negotiation algorithms peer-to-peer electricity markets peer-to-peer structures power markets trans active energy