Model-Based Method for Partially Shaded PV Module Hot-Spot Suppression

Spanoche, S.-A.; Stewart, Jean; Hawley, Shiloh L.; Opris, I.E.

doi:10.1109/jphotov.2012.2230054

Cited by 24 publications

(7 citation statements)

References 11 publications

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“…For instance, the series resistance of the solar cell Rs increases over time. 28 The above figure (Figure 15) shows a good coincidence between the measurements and the modeled data for the I-V curve. However, this model is only valid under particular constant weather conditions at which the measurements have been taken.…”

Section: Single-diode Modelsupporting

confidence: 58%

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Silicon PV module fitting equations based on experimental measurements

Sabry

Hasan

Sabri

et al. 2019

Energy Science & Engineering

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Solar photovoltaic (PV) characteristic curves (P‐V and I‐V) offer the information required to configure the PV system to operate as near to its optimal performance as possible. Measurement‐based modeling can provide an accurate description for this purpose. This work analyzes the PV module performance and develops a mathematical formula under particular weather conditions to accurately express these curves based on a custom neural network (CNN). The study initially presents several standard mathematical model equations, such as polynomial, exponential, and Gaussian models to fit the PV module measurements. The model selection is subjected to the minimum value of an evaluation parameter. To simplify the solution of the symbolic equations for the CNN network, two neurons in the hidden layer with nonlinear activation function and linear for the output layer were selected. The results show the effectiveness of the proposed CNN model equations over other standard fitting models according to the root mean squared error (RMSE) evaluation. This method promises further improved results with multi‐input parameter modeling.

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Section: Single-diode Modelsupporting

confidence: 58%

“…Additionally, in MATLAB‐based simulation, the mathematical model that is used to model a PV module and cell neglects the effects of parasitic resistances and it is considered that Iph ≈ Isc and all the PV cells are same and subjected to same applied conditions. For instance, the series resistance of the solar cell Rs increases over time …”

Section: Resultsmentioning

confidence: 99%

Silicon PV module fitting equations based on experimental measurements

Sabry

Hasan

Sabri

et al. 2019

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…PV Due to the current research on the effectiveness of the system and the effects of dust deposition, the fact that powder is a different environmental and weather factor is a complex phenomenon [4]. In the PV structure, the test is appeared as a prologue to elements adding to the solvency in the dust of specific PV panels.…”

Section: Introductionmentioning

confidence: 99%

Independent Component Analysis and Sophisticated Distribution Control Algorithmsbased Improving the Efficecny of Solar Power Generation

Madhavan*,

KUMAR,

LOGANATHAN

2019

IJRTE

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Today, people are increasingly worried about environmental problems due to fuel shortage and generation of renewable energy sources. Among the renewable resources, wind generators and photovoltaic panels are primary competitors. For most of their applications, they have the advantages of having a load interface with different power converter circuits for maintenance and free of contamination, but their installation costs are high. Normally Photovoltaic modules also have relatively low conversion efficiency and Overall system cost of PV using Maximum Power Point Tracking (MPPT) techniques are high. The volume can be reduced by the use of high-performance power conditioners that allow for maximum energy consumption. Existing solar power generation systems have some disadvantages of being all day as a result of less direct exposure to true sunlight. This work is aimed at exploring the functions of a MPPT system that includes installations of sophisticated distribution control (SDC) and Independent Component Analysis (ICA) methods. The duty cycle of power converter is significantly controlled using proposed SDC and ICA algorithms and guarantee MPPT operation at its highest efficiency. The function of proposed ICA and SDC has been compared with widely used in traditional algorithms in the MATLAB Simulink environment. Over 97% of capacity is achieved through the respective SDC and ICA methods.

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“…Robotic platforms can be combined with Internet of Things (IoT) and artificial intelligence algorithms, perform a variety of PV-related tasks such as visual inspection [2,4] (modules, wiring and/or other plant equipment), infrared thermography [5] (hot-spots detection) and vegetation…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Modules Diagnosis Using Artificial Vision Techniques for Artifact Minimization

et al. 2018

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Abstract:The installed capacity of solar photovoltaics has increased over the past two decades worldwide, evolving from a few small scale applications to a daily power source. Such growth involves a great impact over operating processes and maintenance practices. The RGB (red, green and blue) and infra-red monitoring of photovoltaic modules is a non-invasive inspection method which provides information of possible failures, by relating thermal behaviour of the modules to the operational status of solar panels. An adequate thermal measurement module strongly depends on the proper camera angle selection relative to panel's surface, since reflections and external radiation sources are common causes of misleading results with the unnecessary maintenance work. In this work, we test a portable ground-based system capable of detecting and classifying hot-spots related to photovoltaic module failures. The system characterizes in 3D thermal information from the panels structure to detect and classify hot-spots. Unlike traditional systems, our proposal detects false hot-spots associated with people or device reflections, and from external radiation sources. Experimental results show that the proposed diagnostic approach can provide of an adequate thermal monitoring of photovoltaic modules and improve existing methods in 12% of effectiveness, with the corresponding financial impact.

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Model-Based Method for Partially Shaded PV Module Hot-Spot Suppression

Cited by 24 publications

References 11 publications

Silicon PV module fitting equations based on experimental measurements

Silicon PV module fitting equations based on experimental measurements

Independent Component Analysis and Sophisticated Distribution Control Algorithmsbased Improving the Efficecny of Solar Power Generation

Photovoltaic Modules Diagnosis Using Artificial Vision Techniques for Artifact Minimization

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