Bi-Level Hybrid Stochastic/Robust Optimization for Low-Carbon Virtual Power Plant Dispatch

Xuan Wei; Yinliang Xu; Hongbin Sun; Haotian Zhao

doi:10.17775/CSEEJPES.2021.07140

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Bi-Level Hybrid Stochastic/Robust Optimization for Low-Carbon Virtual Power Plant Dispatch

Regular Papers | 更新时间：2026-10-16

- Bi-Level Hybrid Stochastic/Robust Optimization for Low-Carbon Virtual Power Plant Dispatch
- Bi-Level Hybrid Stochastic/Robust Optimization for Low-Carbon Virtual Power Plant Dispatch
- 中国电机工程学会电力与能源系统学报(英文) 2025年11卷第5期页码：2012-2023
- 作者机构：
  
  1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China
  2. Department of Electrical Engineering, State Key Laboratory of Power Systems, Tsinghua University,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.07140
  中图分类号：
- 纸质出版：2025-09-01
- 稿件说明：
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Xuan Wei, Yinliang Xu, Hongbin Sun, 等. Bi-Level Hybrid Stochastic/Robust Optimization for Low-Carbon Virtual Power Plant Dispatch[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(5):2012-2023.

Xuan Wei, Yinliang Xu, Hongbin Sun, et al. Bi-Level Hybrid Stochastic/Robust Optimization for Low-Carbon Virtual Power Plant Dispatch[J]. CSEE Journal of Power and Energy Systems, 2025, 11(5): 2012-2023.
Xuan Wei, Yinliang Xu, Hongbin Sun, 等. Bi-Level Hybrid Stochastic/Robust Optimization for Low-Carbon Virtual Power Plant Dispatch[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(5):2012-2023. DOI： 10.17775/CSEEJPES.2021.07140.

Xuan Wei, Yinliang Xu, Hongbin Sun, et al. Bi-Level Hybrid Stochastic/Robust Optimization for Low-Carbon Virtual Power Plant Dispatch[J]. CSEE Journal of Power and Energy Systems, 2025, 11(5): 2012-2023. DOI： 10.17775/CSEEJPES.2021.07140.

摘要

Abstract

Rapid development of power-to-gas technology provides a potential solution for virtual power plants (VPP) to achieve near-zero carbon emissions. In this paper

a bi-level hybrid stochastic/robust optimization model is proposed for low-carbon VPP day-ahead dispatch considering uncertainties from renewable generation and market prices. First

Karush-Kuhn-Tucker optimality conditions are employed to convert the bi-level model to a single level one. Next

the single level problem is decomposed into a master problem in the base case and several subproblems in extreme cases

which can then be solved by using the column-and-constraint generation algorithm iteratively. Numerical results indicate the proposed approach can effectively satisfy system operation constraints including the carbon emission limit

enhance computational efficiency and algorithm robustness compared with the stochastic method

and improve VPP revenue compared with the robust method.

关键词

Keywords

references

1. International Energy Agency. ( 2021, May ). Net zero by 2050-A roadmap for the global energy sector. IEA, Paris, France . [Online ] . Available: https://iea.blob.core.windows.net/assets/2095ge2e-7ab8–4f2a-b1c6-4e63387f03a1/NetZeroby2050-ARoadmapfortheGlobalEnergySector_CORR.pdf.

28. R. Cheng, L. Tesfatsion, and Z. Y. Wang. ( 2021, Apr. 23 ). A multiperiod consensus-based transactive energy system for unbalanced distribution networks. ISU Digital Repository, Iowa State Univ., Ames, IA, USA . [Online ] . Available: https://lib.dr.iastate.edu/econ_workingpapers/127/.

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