Synthetic Electric Field Prediction Method for Transmission Lines Based on Fuzzy PID Algorithm

As the power system develops and the size of the grid expands, the composite electric field of transmission lines has an increasingly important impact on the safety and stability of the power grid. Traditional electric field prediction methods have certain shortcomings in accuracy and real-time performance, so more efficient and accurate prediction methods are needed to meet the needs of the power system. The synthetic electric field prediction method for transmission lines based on the fuzzy PID (Proportional-Integral-Derivative) algorithm has emerged to improve the reliability and stability of power grid operation. This article studies a method for predicting the composite electric field of transmission lines based on the fuzzy PID algorithm. By comprehensively considering fuzzy control and PID regulation, accurate prediction of the composite electric field of transmission lines can be achieved, improving the stability and reliability of power grid operation. The experimental data shows that the relative error of synthetic electric field prediction fluctuates between 2.5% and 15.67%, and the accuracy of fuzzy PID algorithm prediction is good.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.04.019
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthetic Electric Field Prediction Method for Transmission Lines Based on Fuzzy PID Algorithm

Minxia Luo, Gang Wang, Haitao Chen, Liang Chen et al.
Procedia Computer Science
Power Systems Fault Detection
article

Synthetic Electric Field Prediction Method for Transmission Lines Based on Fuzzy PID Algorithm

Minxia Luo, Gang Wang, Haitao Chen, Liang Chen, Zhenming Wang
article en

Abstract

As the power system develops and the size of the grid expands, the composite electric field of transmission lines has an increasingly important impact on the safety and stability of the power grid. Traditional electric field prediction methods have certain shortcomings in accuracy and real-time performance, so more efficient and accurate prediction methods are needed to meet the needs of the power system. The synthetic electric field prediction method for transmission lines based on the fuzzy PID (Proportional-Integral-Derivative) algorithm has emerged to improve the reliability and stability of power grid operation. This article studies a method for predicting the composite electric field of transmission lines based on the fuzzy PID algorithm. By comprehensively considering fuzzy control and PID regulation, accurate prediction of the composite electric field of transmission lines can be achieved, improving the stability and reliability of power grid operation. The experimental data shows that the relative error of synthetic electric field prediction fluctuates between 2.5% and 15.67%, and the accuracy of fuzzy PID algorithm prediction is good.

Procedia Computer ScienceVol. 259
China Power Engineering Consulting Group (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 89%
Power Systems Fault Detection
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.