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基于K-ESPRIT的快速宽频测量方法
作者:
作者单位:

1.新能源电力系统国家重点实验室(华北电力大学),北京市 102206;2.国网北京市电力公司城区供电公司,北京市100034;3.广州供电局有限公司,广东省广州市510620

作者简介:

刘灏(1985—),男,博士,副教授,主要研究方向:广域同步相量测量技术。E-mail:hliu@ncepu.edu.cn
任小伟(1993—),男,硕士研究生,主要研究方向:宽频同步测量技术。E-mail:renxiaowei@ncepu.edu.cn
毕天姝(1973—),女,通信作者,博士,教授,主要研究方向:电力系统主保护、后备保护及保护控制用的同步相量测量技术。E-mail:tsbi@ncepu.edu.cn
田建南(1992—),男,硕士研究生,主要研究方向:电力系统同步相量数据传输技术。E-mail:15901399396@163.com

通讯作者:

基金项目:

国家重点研发计划资助项目(2017YFB0902901);国家自然科学基金资助项目(51707064)。


Fast Wide-frequency Measurement Method Based on Kurtosis-Estimation of Signal Parameters via Rotation Invariance Technique
Author:
Affiliation:

1.State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China;2.Urban Electric Power Supply Company of State Grid Beijing Electric Power Company, Beijing 100034, China;3.Guangzhou Power Supply Co., Ltd, Guangzhou 510620, China

Fund Project:

This work is supported by National Key R&D Program of China (No. 2017YFB0902901) and National Natural Science Foundation of China (No. 51707064).

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    摘要:

    随着电力系统中电力电子装置渗透率越来越高,电气量的宽频特性越来越显著,并引发了新的涉网稳定问题,对电力系统信号的监测频带范围和响应速度提出了新的要求。因此,提出了一种快速宽频测量方法,实现了宽频信号的快速跟踪与高精度测量。利用空间谱估计的“超分辨率特性”实现了短时间窗的宽频测量。为提高算法在低信噪比条件下的稳定性,提出了基于峭度的信号频率成分数估计方法,保证了测量精度。最后,在硬件上实现该方法,通过仿真测试、硬件测试以及现场测试,验证了所提方法的有效性。

    Abstract:

    With the increasing penetration of electronic devices in power systems,electrical quantities are increasingly exhibiting wide-frequency characteristics, and thus new stability issues of power grid have arisen. New requirements for monitoring frequency range and response speed of power system signals are put forward. In this paper, a fast wide-frequency measurement method is proposed to realize the fast and high-precision measurement of the wide-frequency signals. The super-resolution characteristics of spatial spectrum estimation are used to achieve the wide-frequency measurement in a short time window. In order to improve the algorithm stability in low signal noise ratio (SNR) conditions, a kurtosis based method for estimating the number of signal frequency components is proposed, which guarantees the measurement accuracy. Finally, the proposed method is implemented on hardware. The results of simulation, hardware and field tests verify the validity of the proposed method.

    表 2 装置量测误差Table 2 Measurement errors of device
    图1 加60 dB高斯白噪声时本文方法估计性能Fig.1 Estimated performance of the proposed method with 60 dB Gaussian white noise
    图2 2种算法测量结果对比Fig.2 Comparison of measurement results between two methods
    图 无噪声时GDE算法估计性能Fig. Estimation performance of Gaelic circle method without noise
    图 含60dB高斯白噪声时GDE算法估计性能Fig. Estimation performance of Gaelic circle method with 60dB Gaussian white noise
    图 快速宽频同步测量方法流程图Fig. Flow chart of the fast synchronized measurement method with wide frequency bandwidth
    图 现场录波数据Fig. Field recorded data
    表 3 Table 3
    表 1 60 dB噪声时3种算法测量误差Table 1 Measurement errors of three methods with 60 dB noise
    图 宽频同步测量装置测试平台Fig. Test Platform of the synchronized measurement device with wide frequency bandwidth
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引用本文

刘灏,任小伟,田建南,等.基于K-ESPRIT的快速宽频测量方法[J].电力系统自动化,2020,44(10):186-192. DOI:10.7500/AEPS20190517004.
LIU Hao,REN Xiaowei,TIAN Jiannan,et al.Fast Wide-frequency Measurement Method Based on Kurtosis-Estimation of Signal Parameters via Rotation Invariance Technique[J].Automation of Electric Power Systems,2020,44(10):186-192. DOI:10.7500/AEPS20190517004.

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  • 收稿日期:2019-05-17
  • 最后修改日期:2019-12-19
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  • 在线发布日期: 2020-05-22
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