Performance Analysis of Weighted Least Squares State Estimation in a Medium Voltage Distribution Network

This paper presents the research of a weighted least squares (WLS) state estimation (SE) analysis, for a real medium voltage (MV) distribution network, equipped with several Remote Terminal Units (RTUs). The study examines the impact of various factors on SE performance, including the handling of virtual measurements, load estimation errors, the number and placement of real meters, and a comparison between radial and ring topology operation.For each analyzed factor, a simulation scenario is described and conducted using a numerical model of the network.A performance evaluation is carried out by comparing the estimation results, with load flow references.The results are presented using the root mean square error (RMSE) metric.

Authors

Publication Details

Journal
Acta Polytechnica Hungarica
Published
2025-01-01
DOI
https://doi.org/10.12700/aph.22.11.2025.11.2
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Analysis of Weighted Least Squares State Estimation in a Medium Voltage Distribution Network

Vit Krcal, David Topolánek, Jan Koudelka
Acta Polytechnica Hungarica
Power System Optimization and Stability
article

Performance Analysis of Weighted Least Squares State Estimation in a Medium Voltage Distribution Network

Vit Krcal, David Topolánek, Jan Koudelka
article en

Abstract

This paper presents the research of a weighted least squares (WLS) state estimation (SE) analysis, for a real medium voltage (MV) distribution network, equipped with several Remote Terminal Units (RTUs). The study examines the impact of various factors on SE performance, including the handling of virtual measurements, load estimation errors, the number and placement of real meters, and a comparison between radial and ring topology operation.For each analyzed factor, a simulation scenario is described and conducted using a numerical model of the network.A performance evaluation is carried out by comparing the estimation results, with load flow references.The results are presented using the root mean square error (RMSE) metric.

Acta Polytechnica HungaricaVol. 22(11)
Openalex Percentile: Top 76%
Power System Optimization and Stability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.