Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System

Davarifar, M.; Rabhi, Abdessalem; Hajjaji, Ahmed El

doi:10.4236/epe.2013.54b045

Cited by 62 publications

(35 citation statements)

References 11 publications

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“…Therefore, the maximum output power (MOP) of each PV panel, P q,est , and total MOP, P est , can be estimated as LGF / UGF) [6,[11][12][13]. When any fault occurs in a PV panel, voltage, current, and power meters can be employed to measure the output power, P q,mea , of each panel, as seen in the measurement system in Figure 2(b).…”

Section: Maximum Output Power Estimation and Fault Feature Extractionmentioning

confidence: 99%

“…Previous studies [6][7] have proposed that use of the MPPT algorithm may prevent faults during periods of lower solar radiation and night-to-day transition, as the algorithm can locate the reference value at the maximum power point. When the measured output power is degraded, based on the electrical property, faults such as grounded faults, line-to-line faults, and open circuit faults can be identified [6,[11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Multiple Fault Location in a Photovoltaic Array Using Bidirectional Hetero-Associative Memory Network in Micro-distribution Systems

Chang¹,

Pai²,

Chou³

et al. 2018

Preprint

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Abstract:In manual maintenance inspections of large-scaled photovoltaic (PV) or rooftop PV systems, several days are required to survey the entire PV field. To improve reliability and shorten the amount of time involved, this study proposes an electrical examination based method for locating multiple faults in the PV array. The maximum power point tracking (MPPT) algorithm is used to estimate the maximum power of each PV panel; this is then compared with metering the output power of PV array. Power degradation indexes are parameterized to quantify the degradation between maximum power and metered output power. Bidirectional hetero-associative memory (BHAM) networks are then used to locate multiple faults within the entire PV field. For a rooftop PV system with two strings, experimental results demonstrate that the proposed model has computational efficiency for real-time applications and that its algorithm is easily implemented in a mobile intelligent vehicle.

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Section: Maximum Output Power Estimation and Fault Feature Extractionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiple Fault Location in a Photovoltaic Array Using Bidirectional Hetero-Associative Memory Network in Micro-distribution Systems

Chang¹,

Pai²,

Chou³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…As the time passes some defects evolve in solar panels [15]- [16] There are some defects like shadow of tree branches, shadow of tree leaves, shadow of building, snow deposition, deposition of dirt, dust and soil etc on solar panel surface which are not visible by naked eye there THERMOGRAPHICAL approach is used. These depositions and shadow effects give rise to several other problems like hotspots, loss of power generation, affecting performance of solar panel [17]- [18]. Now-a-days solar panels has many application areas in which health monitoring is must for increasing efficiency and reliability of the complete system [19]- [30].…”

Section: Review Of Defect Analysis In Solar Panels Under Natural mentioning

confidence: 99%

Analyzing Defects of Solar Panels under Natural Atmospheric Conditions with Thermal Image Processing

Chaudhary¹,

Chaturvedi²

2018

IJIGSP

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Abstract-Sun is an ultimate source of energy, which is clean, inexhaustible and safe for environment. The energy obtained from sun is known as solar energy. When solar radiations fall on earth surface solar cells convert these solar radiations into electrical energy. Solar cells are one of the important components of solar panels. Many solar cells combine in series or in parallel to form solar module and solar panels. A solar photovoltaic array is a combination of solar panels and is installed in open atmospheric condition. The natural conditions such as dust and dirt, shade of tree affect operation of solar panels. These natural conditions cannot be avoided but can be analyzed using visual inspection and thermal camera. The visual inspection approach is useful only when the defects are visible by naked human eye but when defects cannot be visualized by naked human eye thermo-graphical approach is used. This paper discusses the identification of various defects in solar panels by applying image processing technique applied for thermal images under natural atmospheric conditions for visual inspection, shading effect of tree, dust and dirt deposition effects on solar panels using thermal imaging camera.

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“…Deposition of dirt (like bird droppings, cement deposits) and other natural conditions (like shading of tree or building, soiling,tree branches) on solar panel surface cause heating and loss of electrical power generation in solar panels. The condition become dangerous when there is a damage to the affected area in solar panels and probability of fault, electrical shock or fire is more [5]- [6]. Batteries in solar photovoltaic system are used to store the generated energy obtained from solar panels.…”

Section: Introductionmentioning

confidence: 99%

Efficient Thermal Image Segmentation for Heat Visualization in Solar Panels and Batteries using Watershed Transform

Chaudhary¹,

Chaturvedi²

2017

IJIGSP

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Abstract-Sun being a non-conventional source of energy produces solar energy which is clean and available in abundance. The power obtained from solar panels is used to charge solar batteries and utilized to get continuous power supply. Solar panels are installed in open atmosphere and when subjected to different weather conditions involve many problems such as damage to different components, loss of power generation and heating. The different deposits on solar panel surface such as cement deposits, bird droppings increase temperature of deposited area and produce heating. The heating in solar panels develop hot spots. Batteries placed in a battery room attain high temperature and produce heat. This overheating affect working and performance of solar panels and batteries. These effects of heat are not visible by naked eye but are visible in thermal images, captured using thermal imaging camera. This paper focus on implementing an efficient visualization technique to segment the desired portion of heat from thermal images of solar panels and batteries using watershed transform.

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Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System

Cited by 62 publications

References 11 publications

Multiple Fault Location in a Photovoltaic Array Using Bidirectional Hetero-Associative Memory Network in Micro-distribution Systems

Multiple Fault Location in a Photovoltaic Array Using Bidirectional Hetero-Associative Memory Network in Micro-distribution Systems

Analyzing Defects of Solar Panels under Natural Atmospheric Conditions with Thermal Image Processing

Efficient Thermal Image Segmentation for Heat Visualization in Solar Panels and Batteries using Watershed Transform

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