Economic dispatch of virtual power plants based on information gap decision theory

高 磊; 郑明忠

doi:10.3969/j.issn.1009-1831.2025.05.001

您当前的位置：

首页 >

文章列表页 >

Economic dispatch of virtual power plants based on information gap decision theory

更新时间：2026-03-05

- Economic dispatch of virtual power plants based on information gap decision theory
- Vol. 27, Issue 5, (2025)
- 作者机构：
  
  国网江苏省电力有限公司电力科学研究院,南京,211103
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.05.001
  CLC：
- Published：2025
- 稿件说明：
移动端阅览
高磊, 郑明忠. Economic dispatch of virtual power plants based on information gap decision theory[J]. 2025, 27(5).
DOI：

高磊, 郑明忠. Economic dispatch of virtual power plants based on information gap decision theory[J]. 2025, 27(5). DOI： 10.3969/j.issn.1009-1831.2025.05.001.

摘要

为降低可再生能源输出和电动汽车（electric vehicle，EV）出行的不确定性给虚拟电厂（virtual power plant，VPP）调度带来的风险，提出了一种基于信息间隙决策理论（information gap decision theory，IGDT）的含电动汽车虚拟电厂优化调度模型。首先，基于私家电动汽车用户行为特征建立蒙特卡洛负荷预测模型，并引入Sigmoid函数量化用户响应意愿度与VPP激励价格的动态关系；其次，基于VPP框架，融合风电、光伏、燃气轮机、储能系统、具备与电网互动（vehicle to grid，V2G）能力的EV集群，建立考虑多源协同的经济优化调度模型；接着，针对该模型中的不确定参数，引入信息间隙决策理论，构建了兼具风险规避与机会寻求的双层决策机制；最后，对某虚拟电厂进行算例测试，验证所提模型和算法的正确性和有效性。算例结果表明，该方法能有效地实现负荷侧调峰和填谷，在经济性和稳定性方面具有优越性。

Abstract

In order to reduce the risk brought by the uncertainty of renewable energy output and electric vehicle（EV）travel to virtual power plant（VPP）scheduling

an optimal scheduling model of virtual power plant incorporating electric vehicles based on information gap decision theory（IGDT）is proposed. Firstly

a Monte Carlo load prediction model is established based on the behavior characteristics of private EV users

and the Sigmoid function is introduced to quantify the dynamic relationship between user response willingness and VPP incentive price.Secondly

based on the VPP framework

wind power

photovoltaic power

gas turbines

energy storage systems and EV clusters with vehicle to grid（V2G）capabilities are integrated to establish an economic optimization scheduling model considering multisource collaboration. Then

aiming at the uncertain parameters in the model

the information gap decision theory is introduced

and a twolevel decision-making mechanism with both risk aversion and opportunity seeking is constructed. Finally

a virtual power plant is tested with an example to verify the correctness and effectiveness of the proposed model and algorithm. The results show that the method can realize the load side peak balancing and valley filling effectively

and has advantages in economy and stability.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal scheduling of virtual power plant with electric vehicles based on dual incentives

Evolution of energy and electricity regulations and development of virtual power plants in German

Design and implementation of virtual power plant system supporting dynamic aggregation of equipment

Fast climbing scheduling strategy for virtual power plants based on second order consistency algorithm

Bidding strategies of virtual power plants considering diverse uncertainties

Related Author

张铁峰

姜喜燕

张灏璠

刘秋华

邓一鸣

张圣楠

李国栋

董晓亮

Related Institution

华北电力大学电气与电子工程学院

南京工程学院商学院

南京工程学院电力工程学院

北京电力交易中心有限公司

国网信息通信产业集团有限公司

AI问答

⁰