Analysis of Formulas for Calculating the Magnetizing Inrush Current and Their Application for Modeling Purposes

This article presents an analysis of three formulas for calculating magnetizing inrush current. Initially, an evaluation of the correctness of these formulas was conducted using a digital power system model. Holcomb's and Specht's formulas demonstrated high accuracy of results, with errors up to 1%. Based on the conducted analysis, a method for verifying magnetizing inrush current for digital models using Holcomb's formula for determining residual flux is proposed. The results indicate that this method allows for calculating the current with an error of up to 7%. The error is attributed to the influence of no-load losses and the mutual induction of neighboring phases.

Authors

Institutions

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/rpa65165.2024.10932965
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Formulas for Calculating the Magnetizing Inrush Current and Their Application for Modeling Purposes

D.O. Blagorazumov, M.S. Malyutin, Anastasiya A. Volkova
Electric Power Systems and Control
article

Analysis of Formulas for Calculating the Magnetizing Inrush Current and Their Application for Modeling Purposes

D.O. Blagorazumov, M.S. Malyutin, Anastasiya A. Volkova
article en

Abstract

This article presents an analysis of three formulas for calculating magnetizing inrush current. Initially, an evaluation of the correctness of these formulas was conducted using a digital power system model. Holcomb's and Specht's formulas demonstrated high accuracy of results, with errors up to 1%. Based on the conducted analysis, a method for verifying magnetizing inrush current for digital models using Holcomb's formula for determining residual flux is proposed. The results indicate that this method allows for calculating the current with an error of up to 7%. The error is attributed to the influence of no-load losses and the mutual induction of neighboring phases.

Moscow Power Engineering Institute (RU)
Openalex Percentile: Top 73%
Electric Power Systems and Control
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.