Abstract
The intensified interactions between power and gas systems and the wide utilization of renewable energy introduce additional challenges in energy marketing and pricing mechanisms. Existing studies either neglect energy uncertainties in deterministic market-clearing models, use predetermined strategic offering prices in single-level models, or approximate gas dynamics in nonrealistic models. This paper proposes a bi-level two-stage distributionally robust electricity–gas market clearing (EG-MC) model considering energy uncertainties and strategic offering prices from energy producers. Strategic energy producers submit their offering prices in the upper-level problem to the EG-MC operator, who maximizes market profits under the realizations of renewable energy outputs while balancing the robustness and conservativeness of the day-ahead market decisions. The presence of gas dynamics in the two stages of the decision-making framework generates an intractable EG-MC problem. A novel triple-loop procedure, namely inner and outer columns & constraints generation and bilinear approximation algorithms, is proposed to sufficiently solve the formulated model. Finally, numerical analyses on an EG-MC model demonstrate the effectiveness of the distributionally robust strategic offers and the performances of the solution methodology.
| Original language | English |
|---|---|
| Article number | 126288 |
| Journal | Energy |
| Volume | 265 |
| DOIs | |
| State | Published - 15 Feb 2023 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- C&CG algorithm
- Distributionally robust optimization
- Energy market
- Natural gas dynamics
- Wind generation uncertainty
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