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.

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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

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article

The Bidding Strategy of Virtual Power Plant Considering the Uncertainty of the Flexible Loads

Jieming Huang, Ye Guo, Kaicheng Zhou, Wuhua Hu et al.
Vibration and Dynamic Analysis
article

The Bidding Strategy of Virtual Power Plant Considering the Uncertainty of the Flexible Loads

Jieming Huang, Ye Guo, Kaicheng Zhou, Wuhua Hu, Qiang Liu, Fan Zhang, Chaoqing Lv, Chenge Gao
article en

Abstract

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.

Tsinghua–Berkeley Shenzhen Institute (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 62%
Vibration and Dynamic Analysis
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