A new DC arc fault detection method using DC system component modeling and analysis in low frequency range

Abstract

In this paper, system component and arc modeling are presented, along with low frequency range analysis for dc arc fault detection. With an arc fault model consisting of a voltage source and variable resistor, the system during arcing can be described as an equivalent circuit model, which gives motivation for the proposed arc detection method. The presented model represents the low frequency characteristics of the main system components and arc in a dc system. Their influence on the line current can be well described and, as a result, it can be utilized for arc detection. The proposed method can distinguish normal operation from arcing and, as a result, dramatically reduces the possibility of false-positives. Experimental results verify the model validity and performance of the method.

Models, Detection Methods, and Challenges in Dc Arc Fault: A Review

“…It was also recorded that db9 was capable of achieving a positive agreement between computational precision and complexity. Furthermore, 4-level DWT has been applied as an indicator [77], while a realtime arc fault identification approach for PV systems according to 1-level DWT was proposed in [78]. The ratio of the average power of the first level DWT coefficients (50 -100 kHz) under 200 kHz sampling frequency within a frame to the reference average power was used as the characteristics.…”

DC Series Arc Detection Algorithm Based on Adaptive Moving Average Technique

“…A number of algorithms have been proposed to detect the DC series arc using characteristics in various domains. Specifically, methods using time-domain characteristics [3], [6]- [11], frequency-domain characteristics [2], [4], [12], [13], combined time and frequency domain characteristics [5], [14]- [18], artificial intelligence [19]- [23], and techniques using electromagnetic properties during arc generation [24]- [27] have been proposed.…”

“…The method using frequency-domain characteristics utilizes the frequency components of the current flowing in the conductor connecting the DC source to the load [2], [4], [12] or the capacitor installed on the output side of the DC source [13]. These frequency components of the current increase when the DC series arc occurs [29].…”

Kalman filter–based approach for detection of series arc fault in photovoltaic systems

“…9,10 In these methods, an increase in amplitude of high-frequency components of voltage or current signals has been considered to derive suitable criteria for the detection. 9,10 In these methods, an increase in amplitude of high-frequency components of voltage or current signals has been considered to derive suitable criteria for the detection.…”

“…Most of the reported methods in this regard are based on deriving signatures from the frequency-domain of signals. 9,10 In these methods, an increase in amplitude of high-frequency components of voltage or current signals has been considered to derive suitable criteria for the detection. In frequency domain, sampling frequency always acts as a limiting factor.…”