Data-augmented State Estimation for Partially Visible Three-phase Distribution Networks

WANG Xuzhuo; LI Zhengshuo; XING Jiawei; ZHAO Mingzhe

doi:10.13334/j.0258-8013.pcsee.240367

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Data-augmented State Estimation for Partially Visible Three-phase Distribution Networks

更新时间：2026-01-08

- Data-augmented State Estimation for Partially Visible Three-phase Distribution Networks
- Vol. 45, Issue 15, Pages: 5942-5951(2025)
- 作者机构：
  
  1. 山东大学电气工程学院,山东省,济南市,250061
  2. 国网山东省电力公司,山东省,济南市,250000
- 作者简介：
- 基金信息：
- DOI：10.13334/j.0258-8013.pcsee.240367
  CLC：
- Published：2025
- 稿件说明：
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WANG Xuzhuo, LI Zhengshuo, XING Jiawei, et al. Data-augmented State Estimation for Partially Visible Three-phase Distribution Networks[J]. 2025, 45(15): 5942-5951.
DOI：

WANG Xuzhuo, LI Zhengshuo, XING Jiawei, et al. Data-augmented State Estimation for Partially Visible Three-phase Distribution Networks[J]. 2025, 45(15): 5942-5951. DOI： 10.13334/j.0258-8013.pcsee.240367.

摘要

由于量测设备的稀缺和通信基础设施的不足，配电网的量测覆盖率较低、可观测性较差，削弱了配电网状态估计的准确性。为了克服配电网可观测性差的问题，增强状态估计效果，该文提出一种面向低感知度三相配电网的数据增强状态估计方法。首先，提出一种基于矩阵补全的配电网量测数据增强方法，根据模块度指标进行量测矩阵分块，对多个量测矩阵分别进行分块分相矩阵补全，该方法提高了在大规模系统中的矩阵补全计算效率；然后，提出融合数据增强信息的三相配电网抗差状态估计方法，重点解决生成量测权重系数难以确定的问题；最后，分别在三相不平衡和三相平衡配电系统中进行测试，验证所提方法的有效性和实用性。算例结果表明，所提方法能够有效补全量测矩阵，提高配电网状态估计精度。

Abstract

Due to the scarcity of measurement equipment and the shortage of communication infrastructure

the low measurement coverage and low observability of power distribution networks weaken the accuracy of distribution network state estimation. To overcome the problems of low observability in distribution networks and enhance the effect of state estimation

this paper proposes a data-augmented state estimation for partially visible three-phase distribution networks. First

a measurement data augmentation model of distribution networks based on matrix completion is proposed. The measurement matrix is divided into blocks according to the modularity index

and multiple measurement matrices are completed separately. This method improves the computational efficiency of matrix completion in large-scale systems. Then

a robust state estimation method of three-phase distribution networks based on augmented data information is proposed to solve the problem that the weight coefficient of the generated measurement is difficult to determine. Finally

the effectiveness and practicability of the proposed method are verified through tests on three-phase unbalanced and balanced systems respectively. Numerical results demonstrate that the proposed method can effectively complete the measurement matrix and improve the state estimation accuracy of distribution networks.

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