Novel control methodology for detecting series arc in DC circuits

Sultana, Qumera; Mishra, PriyaRanjan; Chary, S. Nagarjuna

doi:10.1109/icdcm.2017.8001016

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…The power interruption to the critical loads or fault detection makes this method unsuitable for aircraft EPS application. A method by Sultana et al [25] uses three overlapping running windows over the current waveform to detect DC series arcing conditions by utilising a simple change of mean scheme. The method was evaluated under loads varying from 400W, 600W and 800W.…”

Section: Time Domainmentioning

confidence: 99%

“…Voltage drop [22] Aircraft EPS Series AC Statistics [23] Software Series/Parallel DC SSPC [24] Circuit Interrupters Series/Parallel AC/DC Overlapping window [25] DC Grids Series DC Rogowski coil [26] Circuit Interrupters Series DC Current drift [32] Circuit Interrupters Series/Parallel DC Rate of current change [31] PV Series/Parallel DC Current drop [30] Circuit Interrupters Series DC…”

Section: Timementioning

confidence: 99%

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DC Arc Fault Detection Methods in MEA Distribution Systems

Thomas¹,

Telford²,

Rakhra³

et al. 2018

SAE Technical Paper Series

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Direct current (DC) for primary power distribution is a promising solution that is being explored by aircraft system integrators for MEA applications to enable the paralleling of non-synchronized engine off-take generators, and to enable the reduction of energy conversion stages required to supply electronically actuated loads. However, a significant challenge in the use of DC systems is the reliable detection of arc faults. Arcing presents a significant fire risk to aircraft and their presence can result in critical system damage and potentially fatal conditions. Series arc faults in DC systems are particularly challenging to detect as the associated reduction in system current eliminates the use of conventional overcurrent and current differential methods for fault detection. This paper provides an overview of series arc faults in DC systems and presents both simulation and hardware results to illustrate key trends, characteristics and discriminating features. It also presents a comprehensive review of arc fault detection and diagnosis techniques that have been proposed for a wide range of aerospace and other applications. The paper concludes with a discussion on the unique challenges and opportunities for the application of both deterministic and probabilistic methods in MEA systems.

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Section: Time Domainmentioning

confidence: 99%

Section: Timementioning

confidence: 99%

DC Arc Fault Detection Methods in MEA Distribution Systems

Thomas¹,

Telford²,

Rakhra³

et al. 2018

SAE Technical Paper Series

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“…The former is usually caused by the shortcircuit fault in the path. When the fault occurs, it will produce a large current and, therefore, these arcs can be detected and protected by the general circuit breaker [5]. The common cause of series arc faults is mainly loose connectors or terminals.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, various methods using digital signal processing schemes, such as Discrete Fourier Transform (DFT) and Discrete Wavelet Transform (DWT), are developed [7,9]. To detect the arc fault, different arc fault detection schemes have been proposed based on the signatures of arc signals [5,7,10,11,12,13,14,15,16,17,18,19]. Almost all of these schemes are based on software algorithms and are combined with microcontroller unit (MCU) or hosts.…”

Section: Introductionmentioning

confidence: 99%

A system-on-chip for series arc fault acquisition in smart grid based on two configurable sampling rate SAR ADCs

Zhang

et al. 2022

IEICE Electron. Express

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Arc faults in power systems may cause significant damage to equipment and even lead to electrical fires and hazard for personnel if they are not detected and isolated promptly. The series arc fault in a distribution system can be more dangerous compared to the parallel arc fault, because its low fault current will hinder the circuit breakers from responding in a timely manner. Therefore, it is necessary to properly detect the series arc fault. In this paper, a system-on-chip (SoC) for series AC arc fault acquisition is presented, which is based on two channels of configurable sampling rate successive approximation register (SAR) analog-to-digital-converters (ADCs). As the arc faults with different loads have different characteristics and may need a higher sampling rate under some circumstances, the adjustable sampling rate can meet varying needs. The system is implemented using a 55 nm CMOS process with a die area of 4.683 mm 2 and power dissipation of 75.9 mW. The proposed SAR ADC design can achieve a good Schreier figure-of-merit (FoM) of 161 dB at 1 MS/s sampling rate. With this ADC design, the SoC can complete arc faults acquisition with high precision and configurable sampling rate at a low cost. Meanwhile, the system can sample voltage and current signals from the smart grid respectively to initially locate the arc fault.

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