Research on scheduling strategy of virtual power plant with distributed PV based on decision dependent uncertainty

牛文娟; 谈 健; 陈 琛; 徐 筝; 薛贵元; 吴 垠; 诸晓骏; 胡 源

doi:10.3969/j.issn.1009-1831.2024.06.011

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Research on scheduling strategy of virtual power plant with distributed PV based on decision dependent uncertainty

更新时间：2026-03-05

- Research on scheduling strategy of virtual power plant with distributed PV based on decision dependent uncertainty
- Vol. 26, Issue 6, (2024)
- 作者机构：
  
  1. 国网江苏省电力有限公司经济技术研究院,南京,210008
  2. 东南大学电气工程学院,南京,210096
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2024.06.011
  CLC：
- Published：2024
- 稿件说明：
移动端阅览
牛文娟, 谈健, 陈琛, et al. Research on scheduling strategy of virtual power plant with distributed PV based on decision dependent uncertainty[J]. 2024, 26(6).
DOI：

牛文娟, 谈健, 陈琛, et al. Research on scheduling strategy of virtual power plant with distributed PV based on decision dependent uncertainty[J]. 2024, 26(6). DOI： 10.3969/j.issn.1009-1831.2024.06.011.

摘要

随着分布式光伏的发展和普及

虚拟电厂作为一种集成分布式能源资源的新型电力系统形式被广泛应用。但分布式光伏出力的不确定性特征不是固定的

而是取决于聚合规模。首先基于分布式光伏聚合规模的决策依赖不确定性进行了虚拟电厂调度策略研究。然后建立了分布式光伏的决策依赖不确定性和空间相关性的模型

提出了考虑分布式光伏决策依赖不确定性的虚拟电厂优化风险调度模型。之后

针对决策与不确定性之间的耦合关系

提出了基于仿射函数的决策依赖概率分布随机模型的求解方法。最后

算例分析了分布式光伏决策依赖不确定性对虚拟电厂调度结果的影响和不同风险偏好的虚拟电厂策略

验证了本文所提模型的有效性。

Abstract

With the development and popularization of distributed photovoltaics（PV）

virtual power plants have been widely applied as a novel form of electric power system integrating distributed energy resources. However

the uncertainty characteristics of distributed PV output are not fixed but depend on the aggregation scale. Firstly

virtual power plant planning and scheduling are investigated based on the decision dependent uncertainty（DDU）in distributed PV aggregation scale. Then

models for DDU and spatial correlation of distributed PV are established. An optimization risk scheduling model for virtual power plants considering DDU of distributed PV is proposed. Addressing the coupling between decision-making and uncertainty

a solution method based on affine function for the stochastic model of decision dependence probability distribution is presented. Lastly

case studies analyze the impact of DDU of distributed PV on virtual power plant scheduling results and different risk preferences of virtual power plant strategies

verifying the effectiveness of the proposed models.

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