电力系统及其自动化学报2024，Vol.36Issue(1)：89-98,10.DOI:10.19635/j.cnki.csu-epsa.001350
基于时序聚类及改进Pettitt的系统谐波阻抗估计
Utility Harmonic Impedance Estimation Based on Time Series Clustering and Improved Pettitt Method
摘要
Abstract
Aimed at the serious disorder in harmonic voltage and current data,which makes it difficult to estimate the utility harmonic impedance accurately in real time using conventional non-interventional methods,a utility harmonic impedance estimation method based on time series clustering and an improved Pettitt method is proposed.First,the cross-correlation coefficient principte in time series clustering is applied to shift and align harmonic voltage and current sequences and further select the data with a strong correlation.Second,to avoid the effect of impedance mutation,the Pettitt method based on binary partitioning is proposed to test the impedance mutation points.Finally,the self-born weighted least squares method is used to further reduce the effect of outliers on results by assigning weighting coeffi-cients.The simulation results and an example show that the proposed method can effectively reduce the errors in utility harmonic impedance estimation brought by background harmonic fluctuations and impedance mutations.关键词
谐波阻抗/互相关系数/Pettitt突变检验/再生权最小二乘法/电能质量Key words
harmonic impedance/cross-correlation coefficient/Pettitt mutation test/self-born weighted least squares method/power quality分类
信息技术与安全科学引用本文复制引用
杨勇,李文涛,刘文飞,张旭军,谢映洲,苗虹..基于时序聚类及改进Pettitt的系统谐波阻抗估计[J].电力系统及其自动化学报,2024,36(1):89-98,10.基金项目
国家电网有限公司科技项目(52272222001J) （52272222001J）
