Work

Non-Contact Voltage Measurement Method for Transmission Lines Based on Improved Genetic Algorithm

Year: 2026

Type: article

Abstract: Voltage status monitoring of transmission lines is critical for the safe operation of power systems. Traditional contact-based measurement methods pose safety risks and incur high costs. Therefore, this paper proposes a non-contact voltage Measurement method by inferring the actual voltage level of transmission lines. Firstly, the spatial electric field strength is constructed based on the simulated charge method. Then, the voltage of transmission lines is inverted according to the near-surface electric field strength. By incorporating Tikhonov regularization with multi-physical condition constraints and multi-start optimization strategies into traditional genetic algorithms, the instability issues in electric field inversion methods are resolved. The results indicate that under a 5% measurement noise, the voltage amplitude error is below 5%, and the phase error is less than 5°. The proposed improved genetic algorithm enhances the stability and reliability of the inversion process, providing an effective solution for voltage state monitoring of transmission lines.

Source: Electronics

DOI: 10.3390/electronics15051098

Authors: Xinye Xu, Xujian Shu

Institution: Fuzhou University

Language: English

Topic: High-Voltage Power Transmission Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $2,896