Abstract

An arc fault is an electrical breakdown of the insulating medium in an electrical system. When arc faults occur, they cause electrical fires with local sparks and temperatures of over 5000 °C. A series arc is generated in series with a load due to an incomplete connection between cords or a loose connection between a cord and terminal. However, it is hard to detect series arc faults with arc protection devices because the fault current flowing by series arc in the circuit is not higher than the load current. Especially in Korea, preventing electrical fires by series arc is rarely applied because there is no national standard for arc fault circuit interrupters (AFCI) and arc fault detection devices (AFDD). Therefore, many studies for reliable arc detection and analysis are still necessary to prevent electrical fires. In this study, phase analyses of series arc signals for low-voltage electrical devices such as heaters, computers, refrigerators, and air conditioners were conducted. The arc generator was fabricated according to UL 6199 and an optimal filter was designed to detect series arc signals without any attenuation. The phase of detected series arc signals was analyzed according to load types and finally a new algorithm was proposed based on the result of phase-resolved series arc (PRSA) analysis to identify types of loads.

Highlights

  • Electricity is an indispensable energy source in modern society and the use of electrical appliances is increasing in residential and office spaces

  • It can be seen that more than 50% of electrical fires were due to insulation deterioration, contact failure, compressed insulation, and loose connections, which can lead to the series arcing [1,2]

  • When an arc fault occurs, it causes electrical fires in 1999 to prevent electrical fires, and the government made the installation of arc breakers mandatory with local sparks and high temperatures of 5000 to 15,000 ◦ C as it reacts with materials such as wood in homes in 2002

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Summary

Introduction

Electricity is an indispensable energy source in modern society and the use of electrical appliances is increasing in residential and office spaces. Arc faults commonly caused bydofaulty connections due an to arc insulation deterioration, contact utilities and are customers They not detect and interrupt due to low amplitude [3,4]. When an arc fault occurs, it causes electrical fires in 1999 to prevent electrical fires, and the government made the installation of arc breakers mandatory with local sparks and high temperatures of 5000 to 15,000 ◦ C as it reacts with materials such as wood in homes in 2002. This paper describes a phase analysis of series arc signals devices such as was electrical fires. The arc generator was fabricated according to UL and an optimal filter was designed current transformer (HFCT) and the phase of the detected signal was analyzed according to types of using optimal detection frequency ranges. The types of loads are identified depending on the ratio of arc signals

Series Arc
An arccircuit generator was fabricated to UL 6199
Design a Series
Result of PRSA
PRSA patterns depending
Algorithm for 0Load Identification
Case Studies
Findings
Conclusions
Full Text
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