电网谐波状态估计中的可观性分析

OU Zhujian

您当前的位置：

首页 >

文章列表页 >

电网谐波状态估计中的可观性分析

更新时间：2025-08-13

- 电网谐波状态估计中的可观性分析
- Automation of Electric Power Systems Vol. 39, Issue 6, Pages: 53-59(2015)
- 作者机构：
  
  济南大学自动化与电气工程学院,山东省,济南市,250022
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
OU Zhujian. [J]. Automation of electric power systems, 2015, 39(6): 53-59.
DOI：

OU Zhujian. [J]. Automation of electric power systems, 2015, 39(6): 53-59. DOI：

摘要

谐波状态估计的一个难点

在于量测数目通常小于状态量数目

导致量测-状态方程欠定

系统不完全可观。针对该问题

进行了3个方面的研究:首先

结合数学分析和实际电网分析

从减少状态量的角度

实现方程由欠定变为恰定或超定

在保证系统状态完全可观的前提下

大大减少量测设备的数目;其次

将奇异值分解法(SVD)应用在系统可观部分的判断和计算中;然后

针对可观性分析中传统代数方法不足

结合矩阵条件数

提出一种实用的线性无关排序法

并将该方法用于指导不可观系统量测设备的调整和添加

实现系统良好的可观性。最后以菏泽-仿山220 kV-110 kV-35 kV配电系统为例

对SVD和线性无关排序法进行说明

验证了方法的可行性。

Abstract

The number of measurements is often smaller than that of states in harmonic state estimation (HSE). This is a difficulty in HSE

which makes the measurement-state equation underdetermined

and the system incompletely observable. In light of the problem

three aspects are studied. Firstly

the equation is turned from underdetermined to determined or even overdetermined by combining mathematical analysis and power system analysis

and proceeding from reducing the quantity of states. On the premise that system complete observability

is ensured

the number of measurement will be greatly reduced. Secondly

singular value decomposition (SVD) is applied to finding the observable islands and their calculation. Thirdly

by referring to the matrix condition number

a practical linearly independent ranking method is proposed. The method is applied to guiding the adjustment and increase of equipment to realize fine observability. Finally

the Heze-Fangshan 220 kV-110 kV-35 kV distribution system is presented to illustrate the application of SVD and the proposed method. This work is supported by National Natural Science Foundation of China (No. 11201179).

关键词

Keywords

references

Views

2150

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic State Estimation for Distribution Network with Photovoltaic Based on Improved Cubature Kalman Filter

Optimal Construction Method for Advanced Metering Infrastructure of Power Grid Based on Multi-dimensional Compressed Sensing

Dynamic State Estimation of Doubly-fed Wind Turbine Based on Observability Analysis and Multi-step Prediction Cubature Kalman Filter

Unified Harmonic State Estimation Method for AC/DC Hybrid Power Grid with LCC-HVDC

Estimation Method of Harmonic State Based on Improved Generative Adversarial Network

Related Author

BI Tianshu

WANG Ziwei

LIU Hao

YUAN Bo

LIU Hong

GE Shaoyun

BI Tianshu

LIU Hao

Related Institution

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

Economic and Technology Research Institute of State Grid Hebei Electric Power Co., Ltd.

School of Electrical Automation and Information Engineering, Tianjin University

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

School of Electric Power Engineering, South China University of Technology

⁰