Algorithm for Screening Phasor Measurement Unit Data for Power System Events and Categories and Common Characteristics for Events Seen in Phasor Measurement Unit Relative Phase-Angle Differences and Frequency Signals
Algorithm for Screening Phasor Measurement Unit Data for Power System Events and Categories and Common Characteristics for Events Seen in Phasor Measurement Unit Relative Phase-Angle Differences and Frequency Signals
复制标题
筛选相量测量单元数据的电力系统事件和类别以及相量测量单元中所见事件的共同特征的算法相对相角差和频率信号
DOI：
--
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
E. Muljadi
中科院分区：
文献类型：
--
作者：
A. Allen;S. Santoso;E. Muljadi
多相量测量单元（PMU）的网络被创建，设置和维护在得克萨斯大学奥斯汀分校，以获得实际的电力系统测量电力系统分析。本报告中的电力系统分析涵盖了各种时间范围，例如针对电力系统扰动及其对电力系统行为的影响的短期分析以及使用模态分析的长期电力系统行为。本报告的第一个目标是筛选事件的PMU数据。该报告的第二个目标是识别和描述从PMU测量的电力系统事件中提取的共同特征。还描述了每个类别的数字特征以及如何使用这些特征来创建算法的选择规则。PMU数据的趋势与不同的水平和波动的风力发电输出也进行了检查。
A network of multiple phasor measurement units (PMU) was created, set up, and maintained at the University of Texas at Austin to obtain actual power system measurements for power system analysis. Power system analysis in this report covers a variety of time ranges, such as short- term analysis for power system disturbances and their effects on power system behavior and long- term power system behavior using modal analysis. The first objective of this report is to screen the PMU data for events. The second objective of the report is to identify and describe common characteristics extracted from power system events as measured by PMUs. The numerical characteristics for each category and how these characteristics are used to create selection rules for the algorithm are also described. Trends in PMU data related to different levels and fluctuations in wind power output are also examined.