Distributed robust optimization strategy for multi-energy virtual power plant clusters
Ziyang Wang, Hao Guo, Ruijin Zhu, Zixuan Liu · 2025
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Description
Ziyang Wang and co-authors plan joint control of virtual power plants in 2025. A virtual power plant links scattered solar, storage, and loads into one fleet. Fleets of fleets must coordinate without a single boss. The setting here is a high altitude region with mixed energy sources.
Their plan pairs a robust tuning model with a bargaining scheme among fleets. An uncertainty set guards against swings in wind and demand. Bargaining based on Nash theory splits gains and cuts interaction costs. Case tests check whether the plan holds up under stress. Fair coordination may unlock more clean power on shared grids.
Catalog record
| CREATOR | Ziyang Wang, Hao Guo, Ruijin Zhu, Zixuan Liu |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 132 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |