Estimation Method of System Harmonic Impedance Based on Sub-space Dynamic Coefficient Regression

被引：0
|
作者：
Lin S. [1 ]
Yan X. [1 ]
Dai Y. [1 ]
Li D. [1 ]
Fu Y. [1 ]
机构：
[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Dynamic coefficient regression method; Harmonic responsibility determination; Power quality; Sub-space decomposition; System harmonic impedance;
D O I：
10.7500/AEPS20190716004
中图分类号：
学科分类号：
摘要：
The accurate estimation of system harmonic impedance is critical to realize the quantitative determination of harmonic responsibility. The customer-side harmonic impedance is no longer much greater than that of the system side in the situation of new energy resources connecting to the grid, which results in accuracy decrease or ineffectiveness of existing estimation methods. This paper proposes an estimation method of system harmonic impedance based on the sub-space decomposition and the dynamic coefficient regression. The observed signals of the harmonic voltage and current at the point of common coupling (PCC) are decomposed into several sub-spaces by the wavelet packet decomposition. The sub-space with the weakest correlation between the explanatory variables is selected according to the mutual information value, which reduces the impact of the correlation between explanatory variables on the regression analysis. Considering that the system harmonic fluctuation will interfere with the correlation between the harmonic voltage and current at PCC, the system harmonic voltage is regarded as a dynamic coefficient. The system harmonic impedance is calculated by the dynamic coefficient regression method, to reduce the impact of harmonic voltage fluctuation on the estimation results. The simulation results show that the proposed method has better estimation accuracy and robustness compared with the existing methods. © 2020 Automation of Electric Power Systems Press.
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页码：146 / 153
页数：7
相关论文
共 28 条
  • [1] SAFARGHOLI F, MALEKIAN K, SCHUFFT W., On the dominant harmonic source identification-Part Ⅰ: review of methods, IEEE Transactions on Power Delivery, 33, 3, pp. 1268-1277, (2018)
  • [2] SUN Yuanyuan, LI Shurong, SHI Fang, Et al., Multiple harmonic source contribution determination in the active distribution network with distributed harmonic sources, Proceedings of the CSEE, 39, 18, pp. 5389-5398, (2019)
  • [3] XU Fangwei, ZHENG Hongru, YANG Honggeng, Et al., Harmonic impedance estimation method on system side based on measurement data without phase angle, Automation of Electric Power Systems, 43, 21, pp. 170-176, (2019)
  • [4] ZHAO Yongyang, XU Fangwei, SHU Qin, Et al., Utility harmonic impedance estimation based on minimum fluctuation energy of background harmonic, Automation of Electric Power Systems, 43, 24, pp. 142-148, (2019)
  • [5] MENG Siyu, XIAO Xianyong, ZHANG Yi, Et al., A valid data selection method in estimating harmonic impact of individual loads, Power System Technology, 41, 6, pp. 2006-2011, (2017)
  • [6] WANG Yu, ZANG Tianlei, FU Ling, Et al., Harmonic contribution partition of multiple harmonic sources considering background harmonic voltage fluctuation, Automation of Electric Power Systems, 39, 18, pp. 55-61, (2015)
  • [7] HUA Huichun, JIA Xiufang, ZHANG Shaoguang, Neighborhood multi-point measurement method for harmonic contribution determination, Power System Technology, 38, 2, pp. 502-508, (2014)
  • [8] YANG H, POROTTE P, ROBERT A., Harmonic emission levels of industrial loads statistical assessment, (1996)
  • [9] GONG Hualin, XIAO Xianyong, LIU Yamei, Et al., A method for assessing customer harmonic emission level based on the dominant fluctuation filtering principle, Proceedings of the CSEE, 30, 4, pp. 22-27, (2010)
  • [10] HUI J, YANG H, LIN S, Et al., Assessing utility harmonic impedance based on the covariance characteristic of random vectors, IEEE Transactions on Power Delivery, 25, 3, pp. 1778-1786, (2010)
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