Research on the Impact of Distribution Network Loop Closing Operation Based on the Random Forest Algorithm

In order to accurately evaluate the influence degree of each influencing factor on the loop closing current, this paper adopts the random forest algorithm to analyze the influence degree of each influencing factor on the loop closing operation of the 10kV distribution network. Firstly, the loop closing current of the distribution network is calculated and the factors influencing the loop closing current are analyzed. Secondly, each factor is taken as a variable, calculate the loop closing current under the condition of changing these variables for 500 times. The values of each variable and the calculation results of the loop closing current are recorded and used as the data analysis samples for the random forest algorithm. Finally, the random forest algorithm is used to train each sample to obtain the influence degree of each influencing factor on the loop closing current. According to the results, the influence degree of each influencing factor on the loop closing current of the distribution network in descending order is: voltage phase angle, loop closing path impedance, output of distributed generators, load magnitude, voltage amplitude, and load distribution.

Authors

Institutions

Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/sgai64825.2025.11009577
Citations
1
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Impact of Distribution Network Loop Closing Operation Based on the Random Forest Algorithm

Shiyao Wang, Hongxia Zhan
1 citations
Smart Grid and Power Systems
0.73
article

Research on the Impact of Distribution Network Loop Closing Operation Based on the Random Forest Algorithm

Shiyao Wang, Hongxia Zhan
article en
1 citations

Abstract

In order to accurately evaluate the influence degree of each influencing factor on the loop closing current, this paper adopts the random forest algorithm to analyze the influence degree of each influencing factor on the loop closing operation of the 10kV distribution network. Firstly, the loop closing current of the distribution network is calculated and the factors influencing the loop closing current are analyzed. Secondly, each factor is taken as a variable, calculate the loop closing current under the condition of changing these variables for 500 times. The values of each variable and the calculation results of the loop closing current are recorded and used as the data analysis samples for the random forest algorithm. Finally, the random forest algorithm is used to train each sample to obtain the influence degree of each influencing factor on the loop closing current. According to the results, the influence degree of each influencing factor on the loop closing current of the distribution network in descending order is: voltage phase angle, loop closing path impedance, output of distributed generators, load magnitude, voltage amplitude, and load distribution.

Xihua University (CN)
Life in Land
Openalex Percentile: Top 28%
Smart Grid and Power Systems
0.73
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.