Identification of low-frequency oscillation in power system based on improved STD algorithm

HAN Run; TENG Yufei; XIE Jian; WANG Xiaoru; CHE Yulong

doi:10.16081/j.issn.1006-6047.2019.03.009

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Identification of low-frequency oscillation in power system based on improved STD algorithm

更新时间：2025-04-25

- Identification of low-frequency oscillation in power system based on improved STD algorithm
- Vol. 39, Issue 3, Pages: 58-63(2019)
- 作者机构：
  
  1. 西南交通大学电气工程学院
  2. 国网四川省电力公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.16081/j.issn.1006-6047.2019.03.009
  CLC： TM712
- Published：2019
- 稿件说明：
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[1]韩润,滕予非,谢剑,王晓茹,车玉龙.基于改进STD法的电力系统低频振荡辨识[J].电力自动化设备,2019,39(03):58-63.

HAN Run, TENG Yufei, XIE Jian, et al. Identification of low-frequency oscillation in power system based on improved STD algorithm[J]. 2019, 39(3): 58-63.
[1]韩润,滕予非,谢剑,王晓茹,车玉龙.基于改进STD法的电力系统低频振荡辨识[J].电力自动化设备,2019,39(03):58-63. DOI： 10.16081/j.issn.1006-6047.2019.03.009.

HAN Run, TENG Yufei, XIE Jian, et al. Identification of low-frequency oscillation in power system based on improved STD algorithm[J]. 2019, 39(3): 58-63. DOI： 10.16081/j.issn.1006-6047.2019.03.009.

摘要

介绍稀疏时域（STD）法的基本理论并对其进行改进

给出基于该方法进行低频振荡模式参数辨识的具体实施步骤。16机系统时域仿真数据和某实际电网相量测量单元（PMU）实测数据验证了改进STD法的有效性和实用性。改进STD法与总体最小二乘-旋转不变技术（TLS-ESPRIT）及Ibrahim时域（ITD）算法辨识结果的对比表明

改进STD法在准确性和抗噪性方面均表现较好;与含低通滤波器的多通道ITD算法相对比

改进STD法无需对输入信号进行低通滤波即可实现准确辨识。

Abstract

The basic theory of STD（Spare Time Domain） algorithm is introduced

and the algorithm is improved

based on which

the concrete implementation steps of parameter identification for low-frequency oscillation are given.The validity and practicality of the improved STD algorithm are verified by the time domain simulation data of a 16-generator system and the PMU（Phase Measurement Unit） data of a practical power grid. The comparison of identification results among the improved STD algorithm

the TLS-ESPRIT（Total Least Square-Estimation of Signal Parameters via Rotation Invariance Techniques） and ITD（Ibrahim Time Domain） algorithm shows that the improved STD algorithm performs well in the aspects of accuracy and anti-noise performance

and it can realize accurate identification without low-pass filtering of the input signal compared with the multi-channel ITD algorithm with low-pass filter.

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