中国电机工程学报2024，Vol.44Issue(11)：4323-4334,中插12,13.DOI:10.13334/j.0258-8013.pcsee.223458
基于源荷谐波耦合模型的数据驱动概率谐波潮流计算
Data-driven Probabilistic Harmonic Power Flow Calculation Based on Source and Load Harmonic Coupling Model
摘要
Abstract
With the wide application of power electronic devices in new energy resources and loads,the harmonic distortion degree in power systems is increasing.Meanwhile,the uncertainty of source and load further increases the difficulty of harmonic analysis.To effectively evaluate the harmonics and fully mine the measured data characteristics,a data-driven probabilistic harmonic power flow(PHPF)calculation considering source and load uncertainties is proposed.First,based on the measured data,the dynamic harmonic coupling matrix model(DHCMM)is established for source and load to reveal the coupling between voltage and current harmonics.Then,the time-varying uncertainty characteristics are determined with the measured data,and the statistical features are extracted by using the improved point estimation method to overcome the estimation deviation caused by the interaction between variables.Finally,a PHPF calculation method considering source and load uncertainties is proposed to evaluate time-varying uncertain harmonics in the power system.According to the analysis results,the effectiveness of data-based DHCMM is verified,and the accuracy of the proposed PHPF can accurately evaluate the harmonics based on time-varying uncertain power states.关键词
数据驱动/谐波耦合矩阵模型/谐波评估/概率谐波潮流(PHPF)/不确定特征Key words
data-driven/harmonic coupling matrix model/harmonic evaluation/probabilistic harmonic power flow(PHPF)/uncertain characteristic分类
信息技术与安全科学引用本文复制引用
李亚辉,孙媛媛,王庆岩,丁磊,孙凯祺,刘洋,程新功..基于源荷谐波耦合模型的数据驱动概率谐波潮流计算[J].中国电机工程学报,2024,44(11):4323-4334,中插12,13.基金项目
国家自然科学基金项目(51977123). Project Supported by National Natural Science Foundation of China(51977123). （51977123）
