# A Non-Contact Electrostatic Potential Sensor Based on Cantilever Micro-Vibration for Surface Potential Measurement of Insulating Components

## TL;DR

This paper introduces a new sensor that measures electrostatic potential on insulating components using micro-vibration, improving accuracy for high-voltage systems.

## Contribution

A novel non-contact electrostatic potential sensor using cantilever micro-vibration and piezoelectric actuators is proposed and experimentally validated.

## Key findings

- The sensor achieves a maximum measurement error of 0.92% and linearity of 0.47% in the 1–10 kV range.
- Surface potential measurements on a post insulator matched simulation results, confirming sensor effectiveness.
- Multi-physics simulations optimized the sensor's geometry and modulation frequency for efficiency and compactness.

## Abstract

With the rapid development of high-voltage DC (HVDC) power systems, accurate measurement of surface electrostatic potential on insulating components has become critical for electric field assessment and insulation reliability. This paper proposes an electrostatic potential sensor based on cantilever micro-vibration modulation, which employs piezoelectric actuators to drive high-frequency micro-vibration of cantilever-type shielding electrodes, converting the static electrostatic potential into an alternating induced charge signal. An electrostatic induction model is established to describe the sensing principle, and the influence of structural and operating parameters on sensitivity is analyzed. Multi-physics coupled simulations are conducted to optimize the cantilever geometry and modulation frequency, aiming to enhance modulation efficiency while maintaining a compact sensor structure. To validate the effectiveness of the proposed sensor, an electrostatic potential measurement platform for insulating components is constructed, obtaining response curves of the sensor at different potentials and establishing a compensation model for the working distance correction coefficient. The experimental results demonstrate that the sensor achieves a maximum measurement error of 0.92% and a linearity of 0.47% within the 1–10 kV range. Surface potential distribution measurements of a post insulator under DC voltage agreed well with simulation results, demonstrating the effectiveness and applicability of the proposed sensor for HVDC insulation monitoring.