Fault-Detection-Based Machine Learning Approach to Multicellular Converters Used in Photovoltaic Systems

Bouhafs, Ali; Kafi, Mohamed Redouane; Louazene, Lakhdar; Rouabah, Boubakeur; Toubakh, Houari

doi:10.3390/machines10110992

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…Therefore, the use of fault diagnosis and fault tolerant control (FTC) is necessary to isolate faults and maintain the stability of PV systems and electric motors. In [17][18][19], fault diagnosis-based machine learning was used to detect the failure of flying capacitors and power switches in multicellular converters.…”

Section: B Related Workmentioning

confidence: 99%

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

et al. 2023

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Currently, providing water in developing countries, especially in dry and hot rural areas, is a significant challenge. However, creating new electric grids is often expensive. Therefore, the use of lowcost photovoltaic (PV) panels in water pumping systems, without chemical energy storage, based on highperformance and more efficient power converters with increased time life and lower maintenance interventions is needed. In this study, a photovoltaic water pumping system with two power converters, the first is used to extract the maximum power using the maximum power point tracking (MPPT) algorithm, and the second is a three-cell multicellular power converter used to control the DC motor with a submerged pump. Meanwhile, the serial connection and redundant topology of multicellular converters render the system more vulnerable to failure. fault diagnosis-based machine learning approach and fault tolerant control (FTC) are proposed for multicellular power converters. Simulation results with MATLAB show the effectiveness and practicability of the proposed structure and control to isolate the faulty capacitor, increase the sustainability of the system, assure the supply of water under faulty conditions, minimize the mechanical vibrations in electric DC motors, and avoid PV system shutdown.INDEX TERMS Photovoltaic water pumping system, multicellular converter, fault diagnosis based machine learning, fault tolerant control (FTC).

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Section: B Related Workmentioning

confidence: 99%

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

et al. 2023

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“…The PV solar arrays absorb the sunlight and generate electricity into the power grids [2]. Various control techniques of PV systems [3] like the maximum power point tracking (MPPT) control [4][5][6][7][8][9][10][11][12], solar tracker [13], power quality and reactive injection capability [14], anti-islanding [15][16][17][18], and fault detection and diagnosis [19,20] are developed to support the solar power generation to become more competitive. Electricity production from PV solar arrays depends very much on environmental and weather conditions, such as solar radiation and ambient temperature [21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Study on Effect of Partial Shading Irradiance Conditions in Photovoltaic Solar Arrays

Banu,

Barkat,

Istrate

et al. 2024

Preprint

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Solar photovoltaic (PV) generation suffers from multiple serious issues, for example shading effects directly affect the performance of installed PV arrays. By studying these issues, it can play a key role in improving the limitations and performance of PV panels. The study of PV arrays under partial shading conditions is mentioned in many papers as a part of other studies and as an independent phenomenon. Therefore, it is essential to improve these studies and update them with new research and study this problem in detail to know how to limit the effects of partial shading irradiance conditions on PV arrays performances, including economical aspects. This paper proposes to study the effects of different partial shading irradiance conditions for a PV array in various configurations. The analysis is proved in detail through the simulation of the proposed PV array in the Matlab/Simulink environment. The obtained results show the performances of interconnected PV arrays under different partial shading irradiance and temperature conditions, including the solar array I-V and P-V characteristics. In addition, different PV array configurations with and without bypass and blocking protection diodes improve and minimize the effect of partial shading conditions and avoid the reductions in output power.

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“…In [28] an active power filter with multicellular topology proves the robustness against variations of nonlinear load and minimize the switching losses. However, during a failure in power capacitor, the multicellular converter injects faulty current harmonics and affects the power quality of electric power grid, therefore the use of fault tolerant control in modern industry is very important [29][30][31]. In [32][33] a multicellular converter with fault tolerant control used in wind energy conversion system and solar photovoltaic system.…”

Section: Introductionmentioning

confidence: 99%

Self-adaptive fault-tolerant control strategy of shunt active power filter based on multicellular converter

Bouhafs,

Rouabah,

Kafi

et al. 2023

Diagnostyka

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The use of multicellular topology in power quality enhancement can reduce the power loss and also dv/dt of power switches, minimize the electromagnetic interference. However, the failure of flying capacitors can reduce the active filtering efficiency and affect the power quality by injecting currents with wave-form distortion (harmonics, notching, noises etc.) in power distribution grid. Therefore, this study presents a faulttolerant control strategy (FTC) allowing to keep the normal operation conditions of a multicellular converter even under failure mode. The obtained results show that the proposed FTC strategy enhances the power quality of power distribution grid when a fault in flying capacitors occurs.

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Fault-Detection-Based Machine Learning Approach to Multicellular Converters Used in Photovoltaic Systems

Cited by 6 publications

References 25 publications

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

Study on Effect of Partial Shading Irradiance Conditions in Photovoltaic Solar Arrays

Self-adaptive fault-tolerant control strategy of shunt active power filter based on multicellular converter

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