Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant

Zhongkai Yi; Yinliang Xu; Xuan Wei; Hongbin Sun

doi:10.17775/CSEEJPES.2021.00820

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Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant

Regular Papers | 更新时间：2026-02-06

- Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant
- Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant
- 中国电机工程学会电力与能源系统学报(英文) 2025年11卷第2期页码：692-704
- 作者机构：
  
  1. Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China
  2. Department of Electrical Engineering, Tsinghua University,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.00820
  中图分类号：
- 纸质出版：2025
- 稿件说明：
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Zhongkai Yi, Yinliang Xu, Xuan Wei, 等. Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(2):692-704.

Zhongkai Yi, Yinliang Xu, Xuan Wei, et al. Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant[J]. CSEE Journal of Power and Energy Systems, 2025, 11(2): 692-704.
Zhongkai Yi, Yinliang Xu, Xuan Wei, 等. Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(2):692-704. DOI： 10.17775/CSEEJPES.2021.00820.

Zhongkai Yi, Yinliang Xu, Xuan Wei, et al. Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant[J]. CSEE Journal of Power and Energy Systems, 2025, 11(2): 692-704. DOI： 10.17775/CSEEJPES.2021.00820.

摘要

Abstract

In addition to renewable energy sources and market prices uncertainties

the regulation commands issued by the superior market operator are unpredictable factors within the virtual power plant (VPP) bidding range. To avoid branch power flow outage and voltage violation under uncertain regulation commands

a tri-level robust optimization-based day-ahead energy and regulation service bidding strategy for a generalized VPP

considering various distributed energy resources is proposed

in which the VPP bidding strategy

worst scenario estimation approach and regulation service scheduling method are formulated at three optimization layers

respectively. Then

the proposed tri-level model is transformed into an equivalent

single-level

mixed integer

second-order cone programming problem with rigid proof. Numerical simulations illustrate the effectiveness and superiority of the proposed approach by comparison with other prevailing methods in recent literature.

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