Online modular level fault detection algorithm for grid-tied and off-grid PV systems

Madeti, Siva Ramakrishna; Singh, Surendra Prasad

doi:10.1016/j.solener.2017.08.047

Cited by 37 publications

(10 citation statements)

References 40 publications

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“…The web-based application enables the enduser to access the whole data through the internet. An online fault monitoring technique was presented [113] for off-grid and on-grid PV systems. Measured and estimated power trends are used to predict the various faults in the system.…”

Section: Web and Wireless Based Fault Detection Techniquesmentioning

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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Section: Web and Wireless Based Fault Detection Techniquesmentioning

confidence: 99%

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

et al. 2021

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“…Silvestre et al presented a tool for remote supervision and control of grid‐connected PV systems where the evolution of main PV system parameters is obtained from empirical model. An autonomous PC‐independent failure monitoring system was proposed for detecting and localizing the failure to the modular level in Madeti and Singh . A recent valuable inclusive study exposing the various kinds of monitoring and failures detection methods for solar PV system can be found in Madeti and Singh .…”

Section: Related Work On Failure Detection In Pv Systemsmentioning

confidence: 99%

Enhanced generalized likelihood ratio test for failure detection in photovoltaic systems

Mansouri

Hajji

Trabelsi

et al. 2018

Int Trans Electr Energ Syst

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Summary In this paper, a new multiscale weighted generalized likelihood ratio test (MS‐WGLRT) chart is proposed for enhanced failure detection in photovoltaic systems. The main weakness of the classical generalized likelihood ratio test chart is in dealing with residual samples while ignoring their natural variances. By taking into consideration the nature variance of the detection residual and applying a multiscale representation, the proposed technique allows the reduction in false alarm and missed detection rates compared with the classical generalized likelihood ratio test chart. The multiscale representation of data is an efficient data analysis and feature extraction tool that has a great impact on the effectiveness of failure detection. The effectiveness of the proposed method is evaluated on a simulated photovoltaic data where the developed chart is used for detecting single and multiple failures (eg, bypass, mix, and shading failures). The simulation results show that the multiscale weighted generalized likelihood ratio test method offers better performance compared with the classical generalized likelihood ratio chart.

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“…For such applications, low input voltage from (PV) source need to be stepped-up. For example, in micro PV inverter, interfacing PV panel with a 230 VRMS grid requires the low PV voltage (typical around 30 VDC) to be stepped up to around 375-400 VDC [5,[9][10][11][12][13][14][15][16][17][18][19]. For such applications, the voltage boosting required is too high to be achievable using conventional basic boost DC-DC converter topology, hence there remains a necessity for modified topologies offering high voltage gain.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems

et al. 2019

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In this paper, a comparative analysis has been presented on various topologies of isolated and non-isolated DC-DC converters. Here, the major focus remains on transformer-less (TL) DC-DC converters, based on the conventional basic boost converter. In addition, to attain high voltage gain, a classification of non-isolated converters based on extendable and non-extendable design has been presented. For comparative and theoretical analysis, the parameters chosen are the number of components utilized by each converter topology, high voltage gain offered, voltage stresses on each component involved and the efficiency of the high gain topologies. For the converters under discussion, operation under ideal and non-ideal conditions has also been highlighted. Based on this study, authors present a guide for the reader to identify various high voltage gain topologies for photovoltaic (PV) systems.

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Online modular level fault detection algorithm for grid-tied and off-grid PV systems

Cited by 37 publications

References 40 publications

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

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

Enhanced generalized likelihood ratio test for failure detection in photovoltaic systems

Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems

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