Statistical Analysis of Low-Voltage Varistor Clamping Voltage Variability under Switching Surges

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study investigates the relationship between the number of applied switching surges and the clamping voltage response of Metal Oxide Varistors (MOVs) through bivariate statistical analysis. The clamping voltage, which marks the threshold at which an MOV becomes conductive, plays a critical role in diverting excess surge energy to the ground and limiting voltage across protected equipment. A stable and predictable clamping voltage is vital for effective surge protection. MOV samples were subjected to various surge event frequencies, with reference voltage measurements recorded before and after testing. Clamping voltage values were also measured at the beginning and end of the testing period. Scatter plot analysis revealed a slight upward trend in the clamping voltage ratio as the number of surges increased, with data narrowly clustering between 1.1 and 1.5 p.u., indicating a weak correlation. A Pearson correlation coefficient of 0.22 further supported this observation. Linear regression analysis demonstrated a negligible positive slope of 0.0008 and a low R-squared value of 0.049, suggesting that the number of surges contributes minimally to the variance in clamping voltage. These findings indicate that while repeated surge exposure may result in a slight increase in clamping voltage, it is not a reliable metric for assessing degradation levels compared to reference voltage changes. The impact of surge events on clamping voltage response remains statistically insignificant.

Original languageEnglish
Title of host publicationProceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331535162
DOIs
Publication statusPublished - 2025
Event33rd Southern African Universities Power Engineering Conference, SAUPEC 2025 - Pretoria, South Africa
Duration: 29 Jan 202530 Jan 2025

Publication series

NameProceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025

Conference

Conference33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
Country/TerritorySouth Africa
CityPretoria
Period29/01/2530/01/25

Keywords

  • Bivariate Statistical Analysis
  • Clamping Voltage Ratio
  • Degradation Assessment
  • Reference Voltage Measurement
  • Statistical Significance
  • Surge Events

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Statistical Analysis of Low-Voltage Varistor Clamping Voltage Variability under Switching Surges'. Together they form a unique fingerprint.

Cite this