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文章摘要
电压暂降在时域和变换域中的检测算法综述
Review on detection algorithm of voltage sag in time domain and time-frequency domain
Received:December 24, 2019  Revised:December 24, 2019
DOI:10.19753/j.issn1001-1390.2021.08.001
中文关键词: 电压暂降  时域  变换域  检测  快速性
英文关键词: voltage sag, time domain, transform domain, detection, rapidity
基金项目:南方电网公司科技项目
Author NameAffiliationE-mail
Wu Hongwen Wuzhou Power Supply Bureau of Guangxi Power Grid Co.,Ltd wu_hw.wzg@gx.csg.cn 
Guo Min* Electric Power Research Institue of Guangxi Power Grid Co.,Ltd guo_m.sy@gx.csg.cn 
Zou Jianming Wuzhou Power Supply Bureau of Guangxi Power Grid Co.,Ltd 5223604@qq.com 
Li Qiang Wuzhou Power Supply Bureau of Guangxi Power Grid Co.,Ltd li_q.wzg@gx.csg.cn 
Chen Zhiguang Wuzhou Power Supply Bureau of Guangxi Power Grid Co.,Ltd cheng_zg.wzg@gx.csg.cn 
Chen Jun Wuzhou Power Supply Bureau of Guangxi Power Grid Co.,Ltd cheng_j.wzg@gx.csg.cn 
Zhang ZhiHui Wuzhou Power Supply Bureau of Guangxi Power Grid Co.,Ltd zhang_zh.wzg@gx.csg.cn 
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中文摘要:
      电压暂降特征量是电能质量中重要的指标,针对当今电力系统中电压暂降敏感型负荷大量接入的现状,如何准确快速地识别电压暂降信息是保证用电设备安全稳定运行的关键。文章从电压暂降现象的概念与特征入手,对时域和变换域中不同的电压暂降检测方法原理进行综述,详细分析有效值检测法,残差电压检测法,d-q坐标分量检测法,两点检测法以及小波变换,傅里叶变换等方法的时效性,抗干扰性以及实用性等不同特点,并选取时域和变换域中的典型检测算法进行仿真分析,仿真结果验证了所述检测方法的时效性和抗谐波性能,最后对文中所列的主要检测方法进行归纳和总结。
英文摘要:
      As an important indicator of power quality, how to accurately and quickly identify the voltage sag characteristic quantity information is the key issue for the situation of large-scale access to voltage sag sensitive load in power systems. This paper starts with the concept and characteristics of voltage sag and explains the different voltage sag detection methods in the time domain and transform domain. Methods based on time domain such as the RMS detection method, residual voltage detection method, two-point detection method and d-q coordinate component detection method are analyzed in detail considering their timeliness, stability and practicability. Wavelet transform, short-time Fourier transform and other methods in transform domain are also included. Finally, typical strategies in both time domain and transform domain are selected for simulation analysis. The simulation results are consistent with the theoretical results. Finally, this paper gives a brief summary of the main detection methods listed in the paper.
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