Arc Fault Detection and Localization in Photovoltaic Systems Using Feature Distribution Maps of Parallel Capacitor Currents

Xiong, Qing; Liu, Xiaojun; Feng, Xianyong; Gattozzi, Angelo L.; Shi, Yuhang; Zhu, Lingyu; Ji, Shengchang; Hebner, Robert E.

doi:10.1109/jphotov.2018.2836986

Cited by 49 publications

(20 citation statements)

References 15 publications

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“…Although this approach has a merit of low cost and less implementational complexity, it suffers the following setbacks: (1) it does not reveal the identity of the fault type on the PV array which can be useful for isolation and (2) it does not offer fault localization. In [59], 8 International Journal of Photoenergy the authors developed a fault detection system using CBT. Three detection methods were proposed by the authors as follows: (1) comparison of measured output value and estimated value derived from measured irradiation, (2) comparison of present and past performance ratios (PRs), and 3comparison of present and past output differences in an intersystem.…”

Section: Review Of Advanced Pv Array Fdd Techniquesmentioning

confidence: 99%

“…Despite the attractiveness of the PV technology, its usage, especially for large-scale power generation, comes with multiple technical challenges. Notable among them are (1) the need to track and maintain the operating point of the PV module at its maximum power point (MPP) [5,6] and (2) the need to detect and mitigate the almost unavoidable PV array faults [7,8]. Tracking the MPP requires the use of a device known as maximum power point tracker (MPPT).…”

Section: Introductionmentioning

confidence: 99%

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Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

Appiah

Zhang

Ayawli

et al. 2019

International Journal of Photoenergy

106

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The environmentally clean nature of solar photovoltaic (PV) technology causes PV power generation to be embraced by all countries across the globe. Consequently, installation and utilization of PV power systems have seen much growth in recent years. Although PV arrays of such systems are robust, they are not immune to faults. To guarantee reliable power supply, economic returns, and safety of both humans and equipment, highly accurate fault detection, diagnosis, and interruption devices are required. In this paper, an overview of four major PV array faults and their causes are presented. Specifically, ground fault, line-line fault, arc fault, and hot spot fault have been covered. Next, conventional and advanced fault detection and diagnosis (FDD) techniques for managing these faults are reviewed. Moreover, a single evaluation metric has been proposed and utilized to evaluate the performances of the advanced FDD techniques. Finally, based on the papers reviewed, PV array fault management future trends and possible recommendations have been outlined.

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Section: Review Of Advanced Pv Array Fdd Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

Appiah

Zhang

Ayawli

et al. 2019

International Journal of Photoenergy

106

View full text Add to dashboard Cite

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“…Therefore, it is necessary to establish a new method to detect faults in capacitor banks. Based on a literature review , several methods have been proposed for detecting faults in capacitor banks based on parameters such as the phase voltage unbalance phasor [7][8][9][10], neutral voltage unbalance phasor [11], phase current unbalance phasor [12], and neutral current unbalance phasor [13,[14][15][16][17][18][19]. The method used in [20][21] employed the superimposed reactance method considering voltage and current; the results proved that the relay algorithm based on measuring unbalance factors was effective and capable of operating even when faults occurred within a short processing time.…”

Section: Introductionmentioning

confidence: 99%

Discriminating Between Capacitor Bank Faults and External Faults for an Unbalanced Current Protection Relay Using DWT

Lertwanitrot

Ngaopitakkul

2020

IEEE Access

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Capacitor faults are a common issue in modern-day power systems. Such systems employ a traditional mechanism that solely relies on unbalanced relays as an indicator of faults in capacitor banks; however, in the case of a relay trip, operators may find it difficult to identify the cause of these faults. To address this issue, this study aims to detect and discriminate between faults in the capacitor bank (i.e., internal faults) and those in the transmission line (i.e., external faults) by employing discrete wavelet transform (DWT). For this purpose, simulations were conducted using PSCAD software and modelled according to the 115-kV system from the Electricity Generating Authority of Thailand (EGAT). Furthermore, case studies involving faults with different phases, side and branch connections, row connections, inception angles, and blown fuses were considered. Moreover, the phase current, unbalanced current, and unbalanced voltage were analyzed to elucidate fault behaviors and the variation in the coefficient obtained via DWT; the unbalanced current and unbalanced voltage were used as design criteria for the proposed detection and relay operation algorithm. Real-world signals were employed to verify the accuracy of the proposed model. The results indicate that the proposed algorithm achieves satisfactory accuracy in terms of fault detection and the operation of relays in capacitor banks. The proposed algorithm is expected to enable an improvement in the performance of protection systems for capacitor banks in the near future.

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“…Non-electrical techniques provide another approach to detect arc effectively, and ultraviolet (UV) light is introduced due to its immunity to electromagnetic interference [13]. Therefore, opticsbased techniques are given high priority to detect a discharging phenomenon [14]. For instance, the partial discharge spectrum in a gas-insulated switchgear or high-voltage power transformer can be analysed by light radiation [15][16][17], and optical image arc welding also has been investigated [18].…”

Section: Introductionmentioning

confidence: 99%

Detection of DC series arc in more electric aircraft power system based on optical spectrometry

et al. 2020

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Series arcing faults have been recognised as a hazardous phenomenon in the power system of more electric aircraft (MEA), especially with the increasing voltage level and power supply. Instead of the electrical method, the optical method can be used as an approach to detect arc fault with the advantages of fast response and immunity to electromagnetic interference. It is the basis of optical arc detection to determine the distribution spectrum range of direct current (DC) arc fault. Aiming at series arc optical detection in the MEA DC system, a DC series arc test platform was established to measure the series arc spectrum. The spectrum was disassembled though empirical mode decomposition to extract characteristic wavelengths of arc light and denoised by means of wavelet decomposition and reconstruction (wavelet transformation) to reduce equipment noise. To resolve the baseline drift, the baseline of the arc spectrum measured was calculated and corrected based on Savitzky−Golay. The experimental results indicate that there are several series arc characteristic spectra of the MEA DC system, including 309.3 and 324.5 nm in the ultraviolet range. Moreover, the arc spectrum with different metals, copper and aluminium, were contrasted, indicating the arc spectral behaviour is related to the melting/boiling point and chemical properties of the anode material. The measurement of the series arc spectrum makes it more effective to apply optical detection in the MEA discharging faults diagnosis.

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Arc Fault Detection and Localization in Photovoltaic Systems Using Feature Distribution Maps of Parallel Capacitor Currents

Cited by 49 publications

References 15 publications

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

Discriminating Between Capacitor Bank Faults and External Faults for an Unbalanced Current Protection Relay Using DWT

Detection of DC series arc in more electric aircraft power system based on optical spectrometry

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