A harmonic and interharmonic detection algorithm based on DFT and group harmonic energy recovery theory

被引：0
|
作者：
Shang L. [1 ]
Xu H. [1 ]
Zang P. [1 ]
Yang L. [2 ]
机构：
[1] School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an
[2] Weinan Electric Power Supply Company, State Grid Shaanxi Electric Power Company, Weinan
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 15期
关键词：
collash energy; group harmonic energy; harmonic; interharmonic; spectrum interference;
D O I：
10.19783/j.cnki.pspc.211265
中图分类号：
学科分类号：
摘要：
When a discrete Fourier transform (DFT) is used to detect a grid signal containing harmonics and interharmonics with similar frequency, the non-synchronous sampling of the signal causes spectrum leakage and aliasing, which seriously affect the detection accuracy. In order to improve this, a harmonic and interharmonic detection algorithm based on DFT and group harmonic energy recovery theory is proposed. First, from a spectrum analysis of the harmonic / interharmonic by DFT, the number of harmonic and interharmonic components is determined. Then based on group energy recovery theory, the length of the sampling window is automatically adjusted by the frequency offset, and the collapse energy around the main harmonic / interharmonic is collected iteratively. Finally, the amplitude and frequency are restored to their original state by total collapse energy value around the main harmonic / interharmonic, and the accurate values of the amplitude and frequency of each component can be obtained. Simulation in Matlab shows that the proposed algorithm can effectively reduce the measurement error caused by spectrum leaks, and accurately measure the amplitude and frequency of adjacent harmonic and interharmonic components. © 2022 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码：91 / 98
页数：7
相关论文
共 29 条
  • [1] LI Zhenhua, HU Tinghe, DU Yawei, Et al., Harmonic detection method based on the theory of windows and spectrum line interpolation, Power System Protection and Control, 47, 22, pp. 78-88, (2019)
  • [2] NIE Yixiong, PENG Xiangang, DAI Qiaoxu, Et al., Improved FFT interpolation algorithm for harmonic measurement, High Voltage Apparatus, 52, 9, pp. 91-97, (2016)
  • [3] LIN Haixue, Perfecting power quality indices and prospect, Proceedings of the CSEE, 34, 29, pp. 5073-5079, (2014)
  • [4] BU Lingyan, JIA Qingquan, TIAN Shuya, Et al., Stability analysis for distributed harmonic mitigation system composed of voltage detection based active power filters, Automation of Electric Power Systems, 44, 21, pp. 99-106, (2020)
  • [5] ZHANG Qiang, WANG Haiyun, WANG Weiqing, A new combined optimization harmonic analysis method, Power System Protection and Control, 48, 10, pp. 156-163, (2020)
  • [6] KRISHNAMURTHY S, BANINGOBERA B E., IEC61850 standard-based harmonic blocking scheme for power transformers, Protection and Control of Modern Power Systems, 4, 2, pp. 121-135, (2019)
  • [7] NIU Qing, SHAO Lei, CAI Huaxun, Et al., Harmonic detection and suppression of active filter device based on microgrid, Smart Power, 48, 12, pp. 46-50, (2020)
  • [8] HUANG Peng, DAI Wei, ZHANG Ying, Et al., Multi-function grid-connected inverter control with APF function, Electric Power Engineering Technology, 40, 1, pp. 107-114, (2021)
  • [9] CHEN Hao, LIU Huawu, XING Yan, Et al., Enhanced DFT based controller for selective harmonic compensation in active power filters, IEEE Transactions on Power Electronics, 34, 8, pp. 8017-8030, (2019)
  • [10] LI Kai, XIANG Xin, BU Wenbin, Et al., Two-weighted interpolation DFT harmonic analysis algorithm based on spectrally-resolution adaptive, Electrical Measurement & Instrumentation, 58, 5, pp. 92-97, (2021)
123