Abstract
Virtual power plants (VPPs) increasingly operate across annual contracting, monthly adjustment, and spot settlement. Annual contracts establish base positions that allow VPPs to pre-position contracted resources and reduce quantity-price exposure before short-horizon operation, yet most existing studies focus on short-horizon dispatch and treat annual contracting outcomes as exogenous inputs. To bridge the gap between endogenous annual position formation and monthly-spot operational rebalancing, this paper proposes a two-stage coordinated robust trading method for VPPs over the annual-to-spot trading cycle under asynchronous wholesale-retail interaction. In Stage I, a rolling forward-contracting model captures the concurrent evolution of progressive retail contracting and batch wholesale position building under multi-round negotiations with irreversible commitments, while a hierarchical curve-based source-load matching method and an asymmetric pricing mechanism guide procurement toward resource-specific benchmark curves. Taking the annual positions formed in Stage I as fixed inputs, Stage II develops a multi-timescale operational rebalancing model that jointly optimizes position adjustment, spot settlement, and internal flexible resource dispatch under a structured finite uncertainty set with explicit cross-channel restrictions. The model is further evaluated against an augmented finite scenario library that includes a portfolio-adaptive candidate adverse scenario constructed through period-wise enumeration. For a representative VPP in the Sichuan provincial electricity market, the proposed method increases Stage-I profit by 20.5% relative to the static single-round benchmark, yields a more balanced procurement structure, and, within the evaluated library, reduces the worst-case rebalancing cost by 7.9% relative to the no-spot-close-out benchmark. Full-cycle wholesale-retail coordination therefore improves both annual position quality and worst-case protection. © 2026 Elsevier Ltd.
| Original language | English |
|---|---|
| Article number | 128658 |
| Number of pages | 23 |
| Journal | Applied Energy |
| Volume | 426 |
| Issue number | Part B |
| Online published | 12 Aug 2026 |
| DOIs | |
| Publication status | Online published - 12 Aug 2026 |
Funding
This work was supported by National Key Research and Development Program of China (No. 2025YFE0203500 ) and the Science and Technology Development Fund , Macau SAR ( 0059/2025/AMJ ).
Research Keywords
- Annual-to-spot electricity markets
- Robust rebalancing
- Scenario-based robust optimization
- Source-load matching
- Virtual power plant
- Wholesale-retail interaction
Fingerprint
Dive into the research topics of 'Two-stage coordinated robust electricity trading for virtual power plants across the annual-to-spot trading cycle under asynchronous wholesale-retail interaction'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver