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

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.