电力系统自动化2025，Vol.49Issue(20)：103-112,10.DOI:10.7500/AEPS20250205001
考虑虚拟电厂分布式资源联动不确定性的优化调度策略
Optimal Scheduling Strategy Considering Linkage Uncertainty of Distributed Resources in Virtual Power Plant
摘要
Abstract
The linkage uncertainty among distributed resources in a virtual power plant(VPP)poses significant challenges to the accuracy of the response of the VPP to power grid scheduling.To address this issue,this paper proposes an optimal scheduling strategy considering the linkage uncertainty of distributed resources in a VPP,aiming to enhance the economic efficiency of VPP scheduling and the accuracy of response.Firstly,this paper portrays the linkage uncertainty of distributed resource power variations through seasonal trend decomposition and cross-correlation analysis,and constructs a linkage matrix.Secondly,a comprehensive assessment method is proposed.This method optimizes the recovery process of distributed resources after responding to scheduling to minimize the economic cost of scheduling,which holistically considers the economics and linkage uncertainty.Then,a dynamic scheduling strategy based on the Gaussian Copula function is introduced.By establishing a correlation model among resources,this strategy dynamically adjusts the scheduling process to improve both accuracy and economic efficiency.Finally,the real data from 247 charging stations in Shenzhen,China,are used for simulation validation.Simulation results demonstrate that,compared with existing methods,the proposed scheduling strategy of distributed resources can reduce the costs by 10.09%.关键词
虚拟电厂/分布式资源/联动/不确定性/优化调度/响应能力恢复/Copula函数Key words
virtual power plant(VPP)/distributed resource/linkage/uncertainty/optimal scheduling/response capability recovery/Copula function引用本文复制引用
汪岩佳,王宇川,王西田,解大..考虑虚拟电厂分布式资源联动不确定性的优化调度策略[J].电力系统自动化,2025,49(20):103-112,10.基金项目
国家重点研发计划资助项目:"规模化灵活资源虚拟电厂聚合互动调控关键技术"(2021YFB2401200). This work is supported by National Key R&D Program of China(No.2021YFB2401200). （2021YFB2401200）
