首页> 外文期刊>International Journal of Applied Engineering Research >Analysis of Power Quality Disturbances in IEEE 14 Bus Test System
【24h】

Analysis of Power Quality Disturbances in IEEE 14 Bus Test System

机译:IEEE 14总线测试系统的电能质量扰动分析

获取原文
获取原文并翻译 | 示例
       

摘要

In recent times, the wavelet-based methodologies have been developed as suitable alternatives for the analysis of power quality (PQ) disturbance signals. Power quality monitoring is an essential service that many utilities maintain it for their industrial and larger commercial customers. The improvement in quality of power requires proper identification of source and cause the disturbances. So the detection of the different electrical disturbances which can cause PQ problems is a difficult task that requires a high level of engineering knowledge. The majority of the disturbances are non-stationary and transient in nature subsequently it requires advanced instruments and procedures for the examination analysis of PQ disturbances. In this work wavelet transform has been implemented for analysis of PQ disturbances. PQ disturbances have been generated by changing load in IEEE-14 bus system and decomposed utilizing wavelet decomposition algorithm for localization of disturbances. Two types of PQ events such as voltage sag and swell are analysed using Discrete Wavelet Transform (DWT) along with the normal sinusoidal signal. Each signal is decomposed up to four finer levels using DWT.
机译:最近,基于小波的方法被开发为适当的替代方案,用于分析电能质量(PQ)扰动信号。电力质量监测是许多公用事业维护其工业和较大商业客户的基本服务。电力质量的提高需要正确识别来源并导致干扰。因此,检测可能导致PQ问题的不同电气干扰是需要高水平的工程知识的艰巨任务。大多数干扰是非静止的,随后的瞬态,随后需要先进的仪器和程序进行PQ扰动的检查分析。在这项工作中,已经实施了小波变换以分析PQ扰动。通过改变IEEE-14总线系统的负载并分解利用小波分解算法来生成PQ扰动,以便对干扰定位进行分解。使用离散小波变换(DWT)以及正常的正弦信号分析两种类型的PQ事件,例如电压凹凸和膨胀。每个信号使用DWT分解到四个更精细的水平。

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