Challenges in the detection of line-line faults in PV arrays due to partial shading

Hariharan, R.; Chakkarapani, M.; Ilango, G. Saravana

doi:10.1109/iceets.2016.7582893

Cited by 12 publications

(4 citation statements)

References 14 publications

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“…Furthermore, fault diagnosis in photovoltaic (PV) systems becomes even more complicated in scenarios of low irradiation [24]; when arc impedance may not draw high enough current; when faults occur in less than a second [25]; in presence of the MPPT device that optimizes the output power of a PV array [26]. In this type of scenario, the protection devices fail to activate and even the PV characteristics of a PV panel without faults can be similar to those of a faulty PV panel [27]. This is why faults can go for hours without being detected and not only degrade the state of the PV panel but also cause it to catch fire and pose a danger to human security [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Feature extraction and health status prediction in PV systems

Oviedo

Travé-Massuyès²,

Subias³

et al. 2022

Advanced Engineering Informatics

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Section: Introductionmentioning

confidence: 99%

Feature extraction and health status prediction in PV systems

Oviedo

Travé-Massuyès²,

Subias³

et al. 2022

Advanced Engineering Informatics

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“…The degradation caused by metal oxidation, connectors corrosions, bus bar discoloration, and rise in PV module series resistance may lead to serious faults and discontinuity of operation [11]. Faults predominantly reported on the AC side include cabling and sudden natural faults [12][13][14]. The nonlinear output behavior of the PV system renders it extremely difficult to detect the nature and position of these faults.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnostic Methodologies for Utility-Scale Photovoltaic Power Plants: A State of the Art Review

et al. 2021

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The worldwide electricity supply network has recently experienced a huge rate of solar photovoltaic penetration. Grid-connected photovoltaic (PV) systems range from smaller custom built-in arrays to larger utility power plants. When the size and share of PV systems in the energy mix increases, the operational complexity and reliability of grid stability also increase. The growing concern about PV plants compared to traditional power plants is the dispersed existence of PV plants with millions of generators (PV panels) spread over kilometers, which increases the possibility of faults occurring and associated risk. As a result, a robust fault diagnosis and mitigation framework remain a key component of PV plants. Various fault monitoring and diagnostic systems are currently being used, defined by calculation of electrical parameters, extracted electrical parameters, artificial intelligence, and thermography. This article explores existing PV fault diagnostic systems in a detailed way and addresses their possible merits and demerits.

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“…Line-line (L-L) fault occurs between two points on the same string or two adjacent strings. The L-L and line-ground (L-G) faults can appear in any string in the PV array, so the protection device is installed in each string [5]. A L-L fault could not be identified when the current flowing through the string is less than that of the OCPDs.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Current indicator based fault detection algorithm for identification of faulty string in solar PV system

Chandrasekharan

Subramaniam

Natarajan

2021

IET Renewable Power Gen

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The maximum power generation in the solar photovoltaic (PV) array is reduced due to the abnormal conditions such as module mismatch, string faults and damage of the PV modules, which reduces the efficiency and reliability of the system. Conventional protection devices fail to detect the faults, which leads to protection issues and fire threats in the PV plants. This paper proposes a new fault detection algorithm to identify the faults in the PV array and the PV string. A simple analysis is developed for fault detection under different fault conditions, such as line-line (L-L) fault, line-ground (L-G) fault and short-circuit fault with multiple strings, and the values of their current indicator and threshold are predetermined. Based on these values, the proposed fault detection algorithm identifies the fault in the PV array and the PV string, with a reduced number of current sensing devices. The effectiveness of the proposed algorithm is tested and verified through MATLAB simulation and experimentation under various operating conditions of the solar PV plant. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Challenges in the detection of line-line faults in PV arrays due to partial shading

Cited by 12 publications

References 14 publications

Feature extraction and health status prediction in PV systems

Feature extraction and health status prediction in PV systems

Fault Diagnostic Methodologies for Utility-Scale Photovoltaic Power Plants: A State of the Art Review

Current indicator based fault detection algorithm for identification of faulty string in solar PV system

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