Optimal Operation and Profit Allocation of Virtual Power Plants Based on Conditional Value-at-risk

LI Xincong; HUANG Ying; LI Zhenkun; YUAN Minghan; JI Liang

doi:10.19725/j.cnki.1007-2322.2023.0263

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Optimal Operation and Profit Allocation of Virtual Power Plants Based on Conditional Value-at-risk

更新时间：2025-12-11

- Optimal Operation and Profit Allocation of Virtual Power Plants Based on Conditional Value-at-risk
- Issue 6, Pages: 1170-1181(2025)
- 作者机构：
  
  1. 国网上海市电力公司经济技术研究院, 上海市徐汇区,200233
  2. 上海电力大学电气工程学院, 上海市杨浦区,200090
  3. 国网上海市电力公司, 上海市杨浦区,200090
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0263
  CLC：
- Published：2025
- 稿件说明：
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LI Xincong, HUANG Ying, LI Zhenkun, et al. Optimal Operation and Profit Allocation of Virtual Power Plants Based on Conditional Value-at-risk[J]. 2025, (6): 1170-1181.
DOI：

LI Xincong, HUANG Ying, LI Zhenkun, et al. Optimal Operation and Profit Allocation of Virtual Power Plants Based on Conditional Value-at-risk[J]. 2025, (6): 1170-1181. DOI： 10.19725/j.cnki.1007-2322.2023.0263.

摘要

虚拟电厂(virtual power plant，VPP)作为解决可再生能源并网的技术途径，可有效帮助各类分布式能源参与电力市场交易并提高整体竞争力与经济性。为此文中提出了一种聚合多类分布式能源的VPP运营策略及其内部成员的收益分配方法。首先，构建了由风电机组、燃气机组、储能设备和可中断负荷组成的VPP优化运行模型，并运用条件风险价值理论对不确定因素风险进行量化处理，得到了不同风险水平下VPP的运营策略和收益；接着，基于内部各成员的风险水平、收益贡献和成员吸引力，采用权重系数改进Shapley值法，提出了适用于多个成员的VPP收益分配模型；最后，以某VPP为研究对象进行算例分析，验证了所建模型的有效性，确保了收益分配结果的公平性与合理性，对各类分布式能源参与到VPP起到积极作用，对维护VPP联盟的稳定具有重要意义。

Abstract

Virtual power plants (VPP) serve as a solution for the seamless integration of renewable energy sources into the grid

effectively facilitating participation in electricity market transactions by various types of distributed energy resources and thus improving overall competitiveness and economic viability. In this article

we propose a VPP operating strategy that aggregates multiple types of distributed energy resources

along with a method for profit allocation among its internal members. Firstly

we construct an optimized VPP operating model composed of wind turbine

gas turbine

energy storage equipment

and interruptible loads. We employ conditional value-at-risk theory to quantify the risk of uncertain factors

and derive VPP operating strategies and profits under different risk levels. Secondly

we improve the Shapley value method with weighted coefficients to develop a VPP profit allocation model that applies to multiple members

based on the risk levels

profit contributions

and member attractiveness of internal members. Finally

we utilize a VPP as a case study to analyze the effectiveness of the model. The fairness and reasonableness of profit allocation results are ensured

which plays a positive role in the participation of various types of distributed energy resources in the VPP and is also of great significance to maintaining the stability of the VPP alliance.

关键词

Keywords

references

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