首页> 外文期刊>IEEE Transactions on Power Delivery >Characterization of distribution power quality events with Fourier and wavelet transforms
【24h】

Characterization of distribution power quality events with Fourier and wavelet transforms

机译:用傅立叶和小波变换表征配电电能质量事件

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

It is the objective of this paper to present unique features that characterize power quality events and methodologies to extract them from recorded voltage and/or current waveforms using Fourier and wavelet transforms. Examples of unique features include peak amplitudes, RMS, frequency, and statistics of wavelet transform coefficients. These features are derived from well documented theories, power engineers' heuristics gained through long years of experience, and power quality data collected in recent years. Converter operation, transformer energization, and capacitor energization (which includes normal, back-to-back, and re-strike on opening energization), representing three common power quality events at the distribution level, are presented. These examples provide the basis for further characterization of other power quality events.
机译:本文的目的是提出表征电能质量事件的独特功能,以及使用傅立叶和小波变换从记录的电压和/或电流波形中提取电能质量事件的方法。独特功能的示例包括峰值幅度,RMS,频率和小波变换系数的统计信息。这些功能源于有据可查的理论,通过多年经验积累的电源工程师的启发式方法以及近年来收集的电源质量数据。给出了代表配电级三个常见电能质量事件的变流器操作,变压器通电和电容器通电(包括正常,背靠背和断开时重新启动)。这些示例为进一步表征其他电能质量事件提供了基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号