Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2018 Power Systems Computation Conference |
| Publisher | IEEE |
| Publication date | 2018 |
| Pages | 7 pp. |
| ISBN (Print) | 9781910963104 |
| DOIs | |
| Publication status | Published - 2018 |
| Series | 2018 Power Systems Computation Conference (pscc) |
|---|
Keywords
- Peer-to-peer markets
- Distributed optimization
- Economic dispatch
- Community-based markets
Cite this
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Negotiation Algorithms for Peer-to-Peer Electricity Markets: Computational Properties. / Moret, Fabio; Baroche, T.; Sorin, Etienne Guillemin; Pinson, P.
Proceedings of 2018 Power Systems Computation Conference. IEEE, 2018. p. 7 pp. (2018 Power Systems Computation Conference (pscc)).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - Negotiation Algorithms for Peer-to-Peer Electricity Markets: Computational Properties
AU - Moret, Fabio
AU - Baroche, T.
AU - Sorin, Etienne Guillemin
AU - Pinson, P.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Peer-to-peer markets
KW - Distributed optimization
KW - Economic dispatch
KW - Community-based markets
U2 - 10.23919/PSCC.2018.8442914
DO - 10.23919/PSCC.2018.8442914
M3 - Article in proceedings
SN - 9781910963104
SP - 7 pp.
BT - Proceedings of 2018 Power Systems Computation Conference
PB - IEEE
ER -