| 基于改进的Prony算法在线辨识电力系统低频排振荡模式 |
| |
| 引用本文： | 杨培宏,刘文颖.基于改进的Prony算法在线辨识电力系统低频排振荡模式[J].低压电器,2008(5):47-51. |
| |
| 作者姓名： | 杨培宏 刘文颖 |
| |
| 作者单位： | 1. 华北电力大学,电力系统保护与动态安全监控教育部重点实验室,北京 102206;内蒙古科技大学,内蒙古,包头,014010
2. 华北电力大学,电力系统保护与动态安全监控教育部重点实验室,北京 102206 |
| |
| 摘 要： | 基于传统的Prony算法对输入信号要求较高,同时对分析数据的噪声非常敏感,提出了一种改进的Prony算法,对在线获取的信号进行快速拟合,从而分析出信号的振幅、阻尼比、频率和相角等信息.改进的Prony算法的拟和精度在36节点的多机系统中进行验证,该算法输入信号是基于广域测量系统提供的各机组功角变量.仿真计算结果表明,该改进算法可实现低频振荡主导模式的在线辨识.
|
| 关 键 词： | 低频振荡 Prony算法 在线辨识 广域测量系统 |
| 文章编号： | 1001-5531(2008)05-0047-05 |
| 修稿时间： | 2007年8月7日 |
Online Identification for Power System Low Frequency Oscillation Mode Based on the Improved Prony Algorithm |
| |
| YANG Peihong,LIU Wenying.Online Identification for Power System Low Frequency Oscillation Mode Based on the Improved Prony Algorithm[J].Low Voltage Apparatus,2008(5):47-51. |
| |
| Authors: | YANG Peihong LIU Wenying |
| |
| Abstract: | Because of the conventional Prony algorithm's high requirement to signal and sensitivity to noise of analysis data,an improved Prony algorithm was proposed to fit the signal quickly which was obtained online,so the amplitude,damping deflection period,frequency and phase angle of signal were gained.The fitting accuracy of improved algorithm was validated in 36 nodes multi-machine system,and the input signal of improved algorithm was angle of multi-generators based on wide-aera measurement system.The simulation result show that improved algorithm can identify the dominant mode of low frequency oscillation online. |
| |
| Keywords: | low frequency oscillation Prony algorithm online identification wide-area measurement system(WAMS) |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
