The Bidding Strategy of Virtual Power Plant Considering the Uncertainty of the Flexible Loads
This paper presents a novel bidding strategy for virtual power plants considering the uncertainty associated with flexible loads. The proposed method incorporates a profit allocation mechanism and strategically excludes highly uncertain loads from bidding. The problem is formulated as a mixed-integer linear programming model. Simulations demonstrate that this approach outperforms traditional stochastic optimization methods in managing risks associated with uncertain flexible loads.
Authors
- Jieming Huang
- Ye Guo (ORCID: https://orcid.org/0000-0002-5268-5289)
- Kaicheng Zhou (ORCID: https://orcid.org/0009-0008-4731-1005)
- Wuhua Hu (ORCID: https://orcid.org/0000-0002-7636-7031)
- Qiang Liu (ORCID: https://orcid.org/0000-0003-1375-0508)
- Fan Zhang (ORCID: https://orcid.org/0000-0002-6714-9534)
- Chaoqing Lv
- Chenge Gao
Institutions
- Tsinghua–Berkeley Shenzhen Institute (CN)
- Tsinghua University (CN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/ei264398.2024.10991817
- Primary Topic
- Vibration and Dynamic Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China