A Mixed Formulation of Matrix Completion in Low Voltage Distribution Network State Estimation

Zhe Chen*, Charalampos Ziras*, Henrik W. Bindner*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Various distributed energy resources are integrated into distribution networks causing operational problems. Before identifying these problems and taking action, a crucial step is to identify the network states. However, sufficient measurements or full observability are difficult to achieve in low-voltage distribution networks; state estimation technologies are developed to evaluate network states based on partial measurements for system operators to take the exact actions in distribution networks. This work proposes a formulation of state estimation that exploits all available information in low observability networks and explores the effects of sensor positioning and network observability on the accuracy of state estimation through an empirical analysis. The investigation is designed to numerically simulate real-world low-voltage networks with high-penetration electric vehicles. The assessment provides results with estimated voltages and currents.
Original languageEnglish
Title of host publicationProceedings of 2023 IEEE Belgrade PowerTech
Number of pages6
Publication date2023
ISBN (Electronic)978-1-6654-8778-8
Publication statusPublished - 2023
Event2023 IEEE Belgrade PowerTech - Hotel Crowne Plaza, Belgrade, Serbia
Duration: 25 Jun 202329 Jun 2023
Conference number: 15


Conference2023 IEEE Belgrade PowerTech
LocationHotel Crowne Plaza


  • State estimation
  • Matrix completion
  • Distribution network
  • Low observability


Dive into the research topics of 'A Mixed Formulation of Matrix Completion in Low Voltage Distribution Network State Estimation'. Together they form a unique fingerprint.

Cite this