| 注册
首页|期刊导航|电网技术|基于ISPM和SDM-Prony算法的电力系统低频振荡模式辨识

基于ISPM和SDM-Prony算法的电力系统低频振荡模式辨识

张程 金涛

电网技术2016,Vol.40Issue(4):1209-1216,8.
电网技术2016,Vol.40Issue(4):1209-1216,8.DOI:10.13335/j.1000-3673.pst.2016.04.034

基于ISPM和SDM-Prony算法的电力系统低频振荡模式辨识

Identification of Power System Low Frequency OscillationsWith ISPM and SDM-Prony

张程 1金涛1

作者信息

  • 1. 福州大学 电气工程与自动化学院,福建省 福州市 350116
  • 折叠

摘要

Abstract

Thispaperproposesa novel Pronymethod for identifying low frequency oscillations in power systems based on improved smoothness priors method (ISPM) and second-derivative method (SDM),determiningorder selection in low frequency oscillationsusingwide area measurement system.First, high frequency interference and trend components are removed rapidly and correctlywithISPM. Next, SDM-Prony identification is performed using denoised signal to obtain dominant mode parameters of low frequency oscillation. This method can automatically and accurately determine order according to specific conditions for singular value decomposition without artificially selecting threshold, makingorder determinationself-adaptive.The proposed methodisapplied to simulated signal and actual oscillation signal measurements, and obtained results were compared with those producedwithtraditional Prony.Using the proposed method, estimated order was closer to actual order and fitting accuracy difference was not high.The proposed methodwas characterized withsimple calculation andexcellentanti-noise performance,ableto identify dominant oscillation modes rapidly and accurately.Simulation result showed that this method has good practicability.

关键词

低频振荡/ISPM算法/二阶导数法/归一化奇异值法/拟合精度/主导振荡模态

Key words

lowfrequency oscillation/improved smoothness priors method (ISPM)/second-derivative method (SDM)/normalized singular value method(NSVM)/accuracy of fitting(AOF)/dominant oscillationmode

分类

信息技术与安全科学

引用本文复制引用

张程,金涛..基于ISPM和SDM-Prony算法的电力系统低频振荡模式辨识[J].电网技术,2016,40(4):1209-1216,8.

基金项目

国家自然科学基金项目(50907011);福建省自然基金项目(2014J01169);福建省教育厅项目(JA14215)。Project Supported by National Natural Science Foundation of China (NSFC)(50907011) (50907011)

Project Supported by Natural Science Foundation of FujianProvince(2014J01169) (2014J01169)

Supported by Foundation of Fujian Educational Committee(JA14215) (JA14215)

电网技术

OA北大核心CSCDCSTPCD

1000-3673

访问量0
|
下载量0
段落导航相关论文