Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems

Xuzhuo Wang; Guoan Yan; Zhengshuo Li

doi:10.17775/CSEEJPES.2024.03830

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Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems

Regular Papers | 更新时间：2026-10-10

- Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems
- Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems
- 中国电机工程学会电力与能源系统学报(英文) 2026年12卷第5期页码：2626-2630
- 作者机构：
  
  Shandong University,Jinan,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2024.03830
  中图分类号：
- 纸质出版：2026-09-01
- 稿件说明：
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Xuzhuo Wang, Guoan Yan, Zhengshuo Li. Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(5):2626-2630.

Xuzhuo Wang, Guoan Yan, Zhengshuo Li. Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems[J]. CSEE Journal of Power and Energy Systems, 2026, 12(5): 2626-2630.
Xuzhuo Wang, Guoan Yan, Zhengshuo Li. Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(5):2626-2630. DOI： 10.17775/CSEEJPES.2024.03830.

Xuzhuo Wang, Guoan Yan, Zhengshuo Li. Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems[J]. CSEE Journal of Power and Energy Systems, 2026, 12(5): 2626-2630. DOI： 10.17775/CSEEJPES.2024.03830.

摘要

Abstract

A low-observable distribution system has insufficient measurements for conventional weighted least-squares state estimators. Matrix completion state estimators have been suggested

but their computational times are prohibitive. In this letter

a novel and efficient power-flow-embedded projection conic matrix completion method is proposed

which is customized for low-observable distribution systems. This method can yield more accurate state estimation (2-fold improvement) in a much shorter time than other methods. Case studies on different-scale systems have demonstrated the effectiveness of the proposed method when applied to the state estimation problem of low-observable distribution systems.

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