• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >Novel approaches for online modal estimation of power systems using PMUs data contaminated with outliers
【24h】

Novel approaches for online modal estimation of power systems using PMUs data contaminated with outliers

机译：利用被异常值污染的PMUs数据进行电力系统在线模态估计的新方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

One of the most important issues in modal estimation of power systems using PMUs data is the negative effect of outliers. Hence, in addition to the techniques of analyzing PMUs data, the necessity of implementing some kinds of approach to overcome these outliers is tangible. This paper aims to present different approaches to overcome outliers and also estimate the electromechanical modes of the system accurately when there is suspicion that the PMUs data may be contaminated by discordant measurements. Proposed approaches are generally categorized into two main classifications: the first category detects and modifies outliers in the pre-processing stage adaptively and then prepares the modified data for processing. The second category consists of robust approaches that detect the outliers through processing data and solving the problem. Based on adaptive data pre-processing with a different data modification method, another approach is proposed in this research for cases where parametric techniques are employed for modal estimation. The efficiency of the proposed methods is investigated on the sixteen-machine five-area test system. It is assumed that all sets of simulated data are distorted by outliers in a few samples. Finally, the results are compared and the application of each method is discussed. (C) 2015 Elsevier B.V. All rights reserved.
机译：使用PMU数据进行电力系统模态估计时，最重要的问题之一是异常值的负面影响。因此，除了分析PMU数据的技术外，有必要实施某种方法来克服这些异常值。本文旨在提出克服异常值的不同方法，并在怀疑PMU数据可能受到不一致的测量值污染时准确估计系统的机电模式。提议的方法通常分为两个主要类别：第一类在预处理阶段自适应地检测和修改异常值，然后准备修改后的数据进行处理。第二类包括通过处理数据和解决问题来检测异常值的可靠方法。基于采用不同数据修改方法的自适应数据预处理，针对采用参数技术进行模态估计的情况，本研究提出了另一种方法。在十六机五区测试系统上研究了所提方法的效率。假设所有模拟数据集在几个样本中都被异常值所扭曲。最后，比较了结果并讨论了每种方法的应用。 （C）2015 Elsevier B.V.保留所有权利。

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