Global Sensitivity Analysis on State Estimation of Distribution Network and Its Application

Yutian MENG; Zheng YAN; Xiaoyuan XU; Chen FANG

doi:10.7500/AEPS20190127001

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Global Sensitivity Analysis on State Estimation of Distribution Network and Its Application

Basic Research | 更新时间：2025-06-16

- Global Sensitivity Analysis on State Estimation of Distribution Network and Its Application
- Automation of Electric Power Systems Vol. 44, Issue 2, Pages: 113-121(2020)
- 作者机构：
  
  1.电力传输与功率变换控制教育部重点实验室（上海交通大学），上海市 200240
  2.国网上海市电力公司电力科学研究院，上海市 200437
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China;National Natural Science Foundation of China
- DOI：10.7500/AEPS20190127001
  CLC：
- Received：27 January 2019，
  
  Revised：2019-07-15，
  
  Published Online：13 November 2019，
  
  Published：25 January 2020
- 稿件说明：
移动端阅览
孟雨田,严正,徐潇源等.配电网状态估计的全局灵敏度分析及应用[J].电力系统自动化,2020,44(02):113-121.

MENG Yutian,YAN Zheng,XU Xiaoyuan,et al.Global Sensitivity Analysis on State Estimation of Distribution Network and Its Application[J].Automation of Electric Power Systems,2020,44(02):113-121.
孟雨田,严正,徐潇源等.配电网状态估计的全局灵敏度分析及应用[J].电力系统自动化,2020,44(02):113-121. DOI： 10.7500/AEPS20190127001.

MENG Yutian,YAN Zheng,XU Xiaoyuan,et al.Global Sensitivity Analysis on State Estimation of Distribution Network and Its Application[J].Automation of Electric Power Systems,2020,44(02):113-121. DOI： 10.7500/AEPS20190127001.

摘要

在配电网状态估计中，量测装置配置不齐全，通常引入伪量测来满足系统的可观性要求。考虑到量测数据有一定的误差以及伪量测与真实值之间可能存在偏差，配电网状态估计的量测和伪量测存在不确定性，这会影响配电网状态估计的准确性。文中提出了配电网状态估计的全局灵敏度分析方法，辨识影响状态估计精度的关键（伪）量测不确定性因素及其位置；利用稀疏多项式混沌展开计算全局灵敏度指标，以提高全局灵敏度分析的计算效率；建立了基于不确定性因素重要性排序的量测装置布点方法。采用IEEE 33节点配电网进行仿真，通过与常用方法进行比较，验证了所提方法的有效性。该方法克服了传统状态估计灵敏度分析方法的不足，能有效评估（伪）量测不确定性因素的交互作用对状态估计的影响；此外，基于全局灵敏度分析的量测装置布点方法能显著提高配电网状态估计精度。

Abstract

In distribution network state estimation

measurement devices are limited and network observability is not achieved unless pseudo measurements are used. Considering the measurement errors and the deviations between the pseudo measurements and the actual values

the (pseudo-) measurements have uncertainties in distribution network state estimation

which will affect the performance of state estimation. The global sensitivity analysis method of the distribution network state estimation is proposed

to identify the critical (pseudo-) measurement uncertainties and their locations

which have an impact on the accuracy of state estimation. Based on the sparse polynomial chaos expansion

the global sensitivity indices are calculated to improve the computational efficiency of the global sensitivity analysis. And the metering placement method based on the importance ranking of uncertain parameters is provided. The proposed approach is tested on the IEEE 33-bus distribution system. Compared with the common methods

the accuracy and efficiency of the proposed method are verified. This method overcomes the shortcomings of the traditional state estimation sensitivity analysis. It evaluates the influence of the correlation of (pseudo-) measurement uncertainties on state estimation. The metering placement method based on the global sensitivity analysis is able to significantly improve the accuracy of distribution network state estimation.

关键词

Keywords

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