Work

The Surface Potential Restoration Algorithm of Electrostatic Capacitance Probe During On‐Line Measurement

Year: 2025

Type: article

Abstract: ABSTRACT The surface charge accumulation on insulators is one of the important factors that limit the development of high‐voltage direct current (HVDC) gas insulated transmission line (GIL), and the accurate measurement of surface charge is the basis to explore its physical mechanism. In this paper, to solve the problem of measured potential attenuation during on‐line measurement of an electrostatic capacitance probe, a surface potential restoration algorithm (SPR) is proposed, and the effectiveness of the proposed algorithm is verified by the equivalent circuit simulation and the experiment. The results show that: the continuous charge leakage on the induction electrode during on‐line measurement will cause the probe output potential to attenuate with time, and the measurement error caused by this cannot be ignored. Meanwhile, it has been proved that the proposed SPR algorithm can effectively restore the surface potential. The maximum error between the restored value and the real value is about 3.4%, and the minimum error is only 0.6%. In addition, the surface potential restoration accuracy of the SPR algorithm is negatively correlated with the ratio between the sampling interval Δ t and the probe time constant τ , that is, the smaller the value of Δ t / τ , the higher the surface potential restoration accuracy. This study can provide a reference for the on‐line measurement technology of DC GIL insulator surface charge density.

Source: High Voltage

DOI: 10.1049/hve2.70122

Authors: Lei Zhang, Di Yu, Deyue Tang, Zhousheng Zhang

Institution: Shanghai University of Electric Power

Language: English

Topic: High voltage insulation and dielectric phenomena

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,200

Funder: National Natural Science Foundation of China