基于主导和非主导参数的参数可估计性辨识

HE Hua; GU Quan; WEI Zhinong; SUN Guoqiang

您当前的位置：

首页 >

文章列表页 >

基于主导和非主导参数的参数可估计性辨识

更新时间：2025-08-13

- 基于主导和非主导参数的参数可估计性辨识
- Automation of Electric Power Systems Vol. 31, Issue 11, Pages: 49-52(2007)
- 作者机构：
  
  1. 南京南瑞继保电气有限公司,江苏省,南京市,211100
  2. 河海大学电气工程学院,江苏省,南京市,210098
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
移动端阅览
HE Hua, GU Quan, WEI Zhinong, et al. [J]. Automation of electric power systems, 2007, 31(11): 49-52.
DOI：

HE Hua, GU Quan, WEI Zhinong, et al. [J]. Automation of electric power systems, 2007, 31(11): 49-52. DOI：

摘要

通过对参数估计应用难点的分析，介绍了参数的可估计性问题。借助电网线性模型的近似分析，提出了参数估计中的主导参数和非主导参数概念。据此解释了参数估计实践中遇到的一些现象，并得出了关于参数估计软件运行方式等的相关结论。根据非主导参数易受量测噪声影响的特点，提出了通过噪声敏感试验的方法辨识主导及非主导参数的方法。对IEEE算例进行了仿真实验，验证了文中提出的参数估计时应去除非主导参数的观点。

Abstract

By analyzing the application difficulties of parameter estimation， the parameter estimation feasibility of power system is discussed. The concept of dominant parameter and non-dominant parameter is proposed with the help of approximate analysis by using the linear model of power system. Therefore the behavior of parameter estimation practice can be explained and the inference for the software running mode of parameter estimation can be drawn from the linear model of power system. Employing the fact that the non-dominant parameter is susceptible to measurement noise， a method of identifying the non-dominant parameter based on the noise sensitivity experiments is presented. Simulation results of an IEEE sample power system are given to verify the viewpoint proposed that the non-dominant parameter should be wiped out in the parameter estimation.

关键词

Keywords

references

Views

1737

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

基于权函数的电网参数分区辨识与估计方法

Dynamic Evaluation of Response Potential of Thermostatically Controlled Load Based on Parameter Identification and State Estimation

考虑总体误差下降指标的电网参数辨识方法

基于线性内点法及正交变换的抗差参数估计

EMS中基于量测置换的对地电容参数估计方法

Related Author

YAN Wei

SONG Lintao

YU Juan

LU Jiangang

LI Qin

ZHANG Haibing

Yifeng CUI

Zhenguo LI

Related Institution

State Key Laboratory of Power Transmission Equipment & System Security and New Technology， Chongqing University

Guangdong Electric Power Dispatching Center

Chongqing Grid Maintenance Branch Company

Key Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province (Yanshan University)

College of Electrical Engineering, Zhejiang University

⁰