A new approach for the diagnosis of different types of faults in dc–dc power converters based on inversion method

Silveira, Alexandre Miguel Marques da; Araújo, Rui Esteves

doi:10.1016/j.epsr.2019.106103

Cited by 18 publications

(7 citation statements)

References 24 publications

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“…Based on the inversion method, this study discusses theory [25] and a new strategy for fault detection and isolation (FDI) in DC-DC converters. The suggested technique consists of inversion-based fault estimation and change detection algorithms that have been tailored to the needs of power converters.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions

Vasantharaj

Indragandhi

Kuppusamy³

et al. 2021

Electronics

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Due to the easiness of setup and great energy efficiency, direct current (DC) microgrids (MGs) have become more common. Solar photovoltaic (PV) and fuel cell (FC) systems drive the DC MG. Under varying irradiance and temperature, this work proposes a fuzzy logic controller (FLC) based maximum power point tracking (MPPT) approach deployed to PV panel and FC generated boost converter. PV panels must be operated at their maximum power point (MPP) to enhance efficiency and shorten the system’s payback period. There are different kinds of MPPT approaches for using PV panels at that moment. Still, the FLC-based MPPT approach was chosen in this study because it responds instantaneously to environmental changes and is unaffected by circuit parameter changes. Similarly, this research proposes a better design strategy for FLC systems. It will improve the system reliability and stability of the response of the system. An FLC evaluates PV and FC via DC–DC boost converters to obtain this enhanced response time and accuracy.

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Section: Literature Reviewmentioning

confidence: 99%

Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions

Vasantharaj

Indragandhi

Kuppusamy³

et al. 2021

Electronics

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“…The entire energy of f (t) is expressed as E = E aN + E dN . The energy value on each frequency band E N j is defined as (8).…”

Section: Fault Features In the Frequency Domainmentioning

confidence: 99%

“…Meanwhile, the additional circuits including the online monitoring system were required. Silveira et al [8] designed a real‐time FDI algorithm with an integrated fuzzy logic scheme which detected and isolated abrupt changes (faults) at unknown time instants. In [9], the paper developed the buck converter model and applied particle swarm optimisation (PSO) algorithm to estimate the unknown circuit parameters by the health indicators under different testing conditions.…”

Section: Introductionmentioning

confidence: 99%

Incipient fault diagnosis method for DC–DC converters based on sensitive fault features

Jiang

Liu³

et al. 2020

IET power electron.

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DC-DC converters play an important role in electrical systems. The fault state of a DC-DC converter has a major impact on the operation of the back-end components and the entire electrical system. Therefore, the fault diagnosis is very necessary when the fault state of DC-DC is in the early stage. It can decrease the likelihood of happening the serious faults that may result in the enormous economic loss. To effectively diagnose the incipient fault in DC-DC converters, an incipient fault diagnosis method based on sensitive fault features is proposed. Firstly, for each type of the incipient fault, this study obtains the statistical features in time domain and the wavelet analysis local energy values in the frequency domain of the output. Then to further improve the incipient fault diagnosis accuracy, this study removes the redundant fault features based on overlap calculation, the unique fault features for each type of incipient fault will be selected. Finally, these sensitive fault features are used to build support vector data description models, which can diagnose the incipient faults. Simulation and hardware experimental results validate the practicability and effectiveness of the proposed method.

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“…Using the last observation, the author concludes that the monitored switch is faulty. In [6], a fast detection and isolation (FDI) method based on model inversion and fuzzy logic algorithm is presented. The proposed method is validated using a Boost converter, and the simulation and practical results show the validity of the proposed method.…”

Section: Introductionmentioning

confidence: 99%

New Diagnosis and Fault-Tolerant Control Strategy for Photovoltaic System

Abouobaida

Abouelmahjoub

2021

International Journal of Photoenergy

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This paper discusses open-circuit fault (OCF) diagnosis and fault-tolerant control strategy (FTCS) of a nonisolated DC-DC converter. The photovoltaic power conversion structure (PPCS) consists of a photovoltaic generator and an interleaved Boost converter (IBC). The maximum power point tracking (MPPT) control of the IBC ensures operation at maximum power. The design of the nonlinear Backstepping control is detailed based on the equivalent average model of IBC, and the stability is studied using Lyapunov’s theorem. The proposed OCF fault detection is based on sampling the voltage across the inductor at a much higher frequency than the switching frequency. In an OCF situation occurrence and a high control signal state, the detection of three negative samples is a condition for signaling the presence of an OCF fault; the photovoltaic system continues its normal operation. The simulation results show the validity of the proposed FTCS. The proposed diagnosis and control strategy improves the performance of the IBC in terms of cost, reliability, and service continuity.

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A new approach for the diagnosis of different types of faults in dc–dc power converters based on inversion method

Cited by 18 publications

References 24 publications

Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions

Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions

Incipient fault diagnosis method for DC–DC converters based on sensitive fault features

New Diagnosis and Fault-Tolerant Control Strategy for Photovoltaic System

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