基于聚合导纳推导运算的虚拟电厂优化调度模型

葛晓琳; 李佾玲; 曹旭丹; 缪元旻; 邓莉荣

doi:10.19912/j.0254-0096.tynxb.2023-1490

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (1) : 522-530. DOI: 10.19912/j.0254-0096.tynxb.2023-1490

基于聚合导纳推导运算的虚拟电厂优化调度模型

葛晓琳^1,2, 李佾玲^1,3, 曹旭丹^1,3, 缪元旻^1,3, 邓莉荣^1,2

作者信息 +

OPTIMAL SCHEDULING MODEL OF VIRTUAL POWER PLANTS BASED ON AGGREGATED ADMITTANCE DERIVATIVE OPERATION

Ge Xiaolin^1,2, Li Yiling³, Cao Xudan^1,3, Miu Yuanmin^1,3, Deng Lirong^1,2

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文章历史 +

摘要

提出一种基于聚合导纳推导运算的虚拟电厂优化调度模型。首先,针对分布式资源出力不确定性与数量激增导致的优化模型难以求解的问题,通过聚类导纳建立虚拟电厂的功率聚合模型,在计及网损的基础上实现分布式资源出力的聚合以及出力不确定性聚合规模的削减。进而,针对虚拟电厂可调度域与分布式资源出力关联难以准确刻画的问题,提出一种虚拟电厂可调度域概率特性求解方法,采用多参数规划分段定量分析各电源随机出力与调度边界的映射关系,结合全概率原则准确刻画虚拟电厂调度边界的概率分布函数。最后,结合调度边界概率分布无法直接参与主网优化调度求解的问题,基于牛顿迭代的分位数转换方法,建立虚拟电厂与主网的联合调度模型。验证算例表明,所提模型和算法通过降低虚拟电厂调度边界的计算规模,可提升调度边界的求解效率。

Abstract

An optimization model for VPP based on aggregated admittance derivative operation is proposed. Firstly, a power aggregation model of VPP is established through clustering induction to aggregate the power output and reduce the scale of uncertainty for DRs based on the network loss, successfully addressing the difficulty of optimization model calculation. Secondly, a method based on multi-parametric programming and total probability principle is proposed for solving the probability distribution of the dispatch region of VPP, quantitatively analyzing the relationship between the random power output and dispatch region, accurately portraying the dispatch region of VPP. Finally, the joint optimal scheduling model of VPP and the main network is constructed by means of the quantile conversion method of Newton iteration to address the problem that the probability distribution of the dispatch region cannot be directly involved in the optimal scheduling of the main network. The validation example shows that the proposed model and algorithm improve the efficiency of solving the dispatch region by reducing the computational scale, and provide a new approach for the safe and stable operation of the joint system of VPP with the main network.

导出引用

葛晓琳, 李佾玲, 曹旭丹, 缪元旻, 邓莉荣. 基于聚合导纳推导运算的虚拟电厂优化调度模型[J]. 太阳能学报. 2025, 46(1): 522-530 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1490

Ge Xiaolin, Li Yiling, Cao Xudan, Miu Yuanmin, Deng Lirong. OPTIMAL SCHEDULING MODEL OF VIRTUAL POWER PLANTS BASED ON AGGREGATED ADMITTANCE DERIVATIVE OPERATION[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 522-530 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1490

中图分类号： TM73

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