Name
Title | ||
|---|---|---|
Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids |
Abstract | ||
|---|---|---|
This paper proposes a data-driven distributionally robust co-optimization model for the peer-to-peer (P2P) energy trading and network operation of interconnected microgrids (MGs). In particular, three-phase unbalanced MG networks are considered to account for the implementation practices, and the emerging soft open point (SOP) technology is used for the flexible connection of the multi-MGs. First,... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TSG.2021.3095509 | IEEE Transactions on Smart Grid |
Keywords | DocType | Volume |
Uncertainty,Optimization,Pricing,Peer-to-peer computing,Programming,Microgrids,Numerical models | Journal | 12 |
Issue | ISSN | Citations |
6 | 1949-3053 | 1 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiayong Li | 1 | 5 | 2.46 |
| Mohammad E. Khodayar | 2 | 66 | 10.53 |
| Jun Wang | 3 | 626 | 84.82 |
| Bin Zhou | 4 | 15 | 3.96 |