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新能源电力系统的频率动态响应呈现显著的时空分布特征，现有分区方法难以准确反映节点频率响应的时空相似性。为此，提出一种在多扰动场景下基于数据驱动和节点间频率动态响应形态相似性的分区方法。首先，在多扰动场景下引入动态时间弯曲（dynamic time warping,DTW）距离度量节点间频率曲线的相似性，构建频率动态响应相似性指标（frequency dynamic response similarity index,DFDI）。在此基础上，利用K-means++聚类算法实现系统区域划分。然后，构建衡量区域内频率响应相似性与区域间分离度的分区效果评价体系，以量化分区准确性。最后，通过改进的IEEE 39节点系统进行仿真验证。结果表明，所提方法在不同调频资源分布与新能源参与调频场景下均能有效识别频率响应相似区域，分区效果明显优于传统分区方法。这为新能源电力系统的区域级惯量评估、频率响应建模、惯量配置等应用奠定了基础。
Abstract：The frequency dynamic response of renewable energy power systems exhibits significant spatio-temporal distribution characteristics,making existing partitioning methods inadequate for accurately capturing the spatio-temporal similarity of nodal frequency responses.To address this issue,this paper proposes a partitioning method based on data-driven approaches and the morphological similarity of inter-node frequency dynamic responses under multiple disturbance scenarios.First,the dynamic time warping(DTW)distance is introduced to measure the similarity between node frequency curves under multiple disturbances,and a frequency dynamic response similarity index(DFDI) is constructed. On this basis,the K-means ++clustering algorithm is employed to achieve system partitioning.Then,an evaluation framework for partitioning effectiveness is established to quantify partition accuracy by measuring both intra-region frequency response similarity and the inter-region separation. Finally,simulations conducted on a modified IEEE 39-bus system demonstrate that the proposed method can effectively identify regions with similar frequency responses under different distributions of frequency regulation resources and scenarios involving renewable energy participation in frequency regulation.The partitioning performance is significantly superior to that of traditional methods.This work lays a foundation for regional inertia assessment,frequency response modeling,and inertia configuration in renewable energy power systems.
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基本信息:
DOI：10.20097/j.cnki.issn1007-9904.250726
中图分类号:TM73
引用信息:
[1]魏永凯,潘学萍,郭金鹏,等.考虑多扰动和频率响应分布性的新能源电力系统分区研究[J].山东电力技术,2026,53(08):1-13.DOI:10.20097/j.cnki.issn1007-9904.250726.
基金信息:
国家自然科学基金项目（52407094,52477089）~~
2025-09-05
2025
2026-08-13
2025-12-09
2025
1
2026-08-25
2026-08-25