scholarly journals Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems

2021 ◽  
Vol 13 (16) ◽  
pp. 9459
Author(s):  
Ahmed Ginidi ◽  
Sherif M. Ghoneim ◽  
Abdallah Elsayed ◽  
Ragab El-Sehiemy ◽  
Abdullah Shaheen ◽  
...  
Keyword(s):  
Parameter Extraction ◽  
Difficult Problem ◽  
Operating Conditions ◽  
Solar Photovoltaic ◽  
Group Activities ◽  
Marine Predator ◽  
Adult Females ◽  
Current Voltage ◽  
Pv Modules ◽  
Unknown Area

The extraction of parameters of solar photovoltaic generating systems is a difficult problem because of the complex nonlinear variables of current-voltage and power-voltage. In this article, a new implementation of the Gorilla Troops Optimization (GTO) technique for parameter extraction of several PV models is created. GTO is inspired by gorilla group activities in which numerous strategies are imitated, including migration to an unknown area, moving to other gorillas, migration in the direction of a defined site, following the silverback, and competition for adult females. With numerical analyses of the Kyocera KC200GT PV and STM6-40/36 PV modules for the Single Diode (SD) and Double-Diode (DD), the validity of GTO is illustrated. Furthermore, the developed GTO is compared with the outcomes of recent algorithms in 2020, which are Forensic-Based Investigation Optimizer, Equilibrium Optimizer, Jellyfish Search Optimizer, HEAP Optimizer, Marine Predator Algorithm, and an upgraded MPA. GTO’s efficacy and superiority are expressed by calculating the standard deviations of the fitness values, which indicates that the SD and DD models are smaller than 1E−16, and 1E−6, respectively. In addition, validation of GTO for the KC200GT module is demonstrated with diverse irradiations and temperatures where great closeness between the emulated and experimental P-V and I-V curves is achieved under various operating conditions (temperatures and irradiations).

scholarly journals THE INFLUENCE OF DUST AND TEMPERATURE ON THE EFFICIENCY OF SOLAR PHOTOVOLTAIC MODULES

2021 ◽  
pp. 44-52
Author(s):  
R.R. Vardanyan ◽  
N.K. Badalyan
Keyword(s):  
Economic Effect ◽  
Experimental Studies ◽  
Operating Conditions ◽  
Dust Particles ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Ambient Temperatures ◽  
Pv Modules ◽  
Negative Effect ◽  
Viable System

At present, the use of solar photovoltaic (PV) modules plays an important role in the field of utilization of solar energy and transformation of this energy into electricity. The main characteristic of PV modules is the work efficiency. It strongly depends on external influences such as the degree of contamination on the glass surface and the operating temperature of the PV modules. Accumulation of dust particles on the surface of PV modules has a very negative effect on their efficiency. At high ambient temperatures, solar PV modules heat up, and the efficiency of modules is reduced. This problem is very substantial for the countries with high temperature conditions and dusty climate. In this paper, the influence of dust and temperature on the efficiency of solar PV modules is investigated. The new-type economically viable system for cleaning and cooling PV modules is used during the experiments. The conducted experimental studies under actual operating conditions during the rainiest period of the year in Yerevan, have shown that due to the cleaning of dust, the efficiency of PV modules is increasing on average by 6.7%. Due to rapid cooling by water in two minutes, the efficiency of PV modules is increased by 2.5%. To improve the operation efficiency, the PV modules must be cooled periodically, taking into consideration the quantity of the consumed water in order to get the maximal economic effect.

New Method to Determine the a-Si:H Pin Diode Series Resistance by Noise Measurements

1998 ◽  
Vol 507 ◽  
Author(s):  
F. Blecher ◽  
K. Seibel ◽  
M. Hillebrand ◽  
M. Böhm
Keyword(s):  
Series Resistance ◽  
Partial Information ◽  
Low Noise ◽  
Operating Conditions ◽  
New Method ◽  
Measuring System ◽  
Pin Diode ◽  
Noise Current ◽  
Current Voltage ◽  
Noise Measurements

ABSTRACTThe series resistance limits the linearity of photodiodes and decreases the efficiency of solar cells. It is usually determined from IV-measurements for moderate and high forward current density. This method, however, provides only partial information about Rs, since the series resistance depends on the operating point. An alternative method is based on noise measurements. System noise of the measuring system with a low-noise current-voltage converter has been investigated. A new method for extraction of photodiode series resistance from noise measurements is suggested. Noise measurements are carried out for a-Si:H pin diodes. The series resistance of an amorphous pin diode has been extracted for different operating conditions using the new measurement method.

New Photovoltaic Module Model And A Comparative Study of MPPT Control Techniques Based On Neural Networks

2021 ◽  
pp. 69-76
Author(s):  
Mourad Talbi ◽  
Nawel Mensia ◽  
Hatem Ezzaouia
Keyword(s):  
Renewable Energy ◽  
Comparative Study ◽  
Temporal Variations ◽  
Operating Conditions ◽  
Maximum Power ◽  
Energy Resources ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Mppt Controller ◽  
Power Point

Nowadays, renewable energy resources play an important role in replacing conventional fossil fuel energy resources. Solar photovoltaic (PV) energy is a very promising renewable energy resource, which rapidly grew in the past few years. The main problem of the solar photovoltaic is with the variation of the operating conditions of the array, the voltage at which maximum power can be obtained from it likewise changes. In this paper, is first performed the modelling of a solar PV panel using MATLAB/Simulink. After that, a maximum power point tracking (MPPT) technique based on artificial neural network (ANN) is applied in order to control the DC-DC boost converter. This MPPT controller technique is evaluated and compared to the “perturb and observe” technique (P&O). The simulation results show that the proposed MPPT technique based on ANN gives faster response than the conventional P&O technique, under rapid variations of operating conditions. This comparative study is made in terms of temporal variations of the duty cycle (D), the output power ( out P ), the output current ( out I ), the efficiency, and the reference current ( ref I ). The efficiency, D, out P , and out I are the output of the boost DC-DC, and ref I is itsinput. The different temporal variations of the efficiency, D, ref I , out P , and out I (for the two cases: the first case, when T = 25°C and G =1000 W/m2 and the second case, when T and G are variables), show negligible oscillations around the maximum power point. The used MPPT controller based on ANN has a convergence time better than conventional P&O technique.

Artificial intelligence technique for estimating PV modules performance ratio under outdoor operating conditions

2018 ◽  
Vol 10 (5) ◽  
pp. 053505 ◽  
Author(s):  
Alain K. Tossa ◽  
Y. M. Soro ◽  
Y. Coulibaly ◽  
Y. Azoumah ◽  
Anne Migan-Dubois ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Operating Conditions ◽  
Performance Ratio ◽  
Artificial Intelligence Technique ◽  
Pv Modules ◽  
Intelligence Technique

scholarly journals Junction Parameter Extraction for Electronic Device Characterization

2004 ◽  
Vol 27 (2) ◽  
pp. 61-67
Author(s):  
S. Dib ◽  
C. Salame ◽  
N. Toufik ◽  
A. Khoury ◽  
F. Pélanchon ◽  
...  
Keyword(s):  
Electronic Device ◽  
Control Process ◽  
Parameter Extraction ◽  
Exponential Model ◽  
Voltage Characteristic ◽  
Model Parameters ◽  
Current Voltage Characteristic ◽  
Device Characterization ◽  
Current Voltage

A new method for the extraction of junction parameters from a description of the current–voltage characteristic is developed. A simulation is performed and a high accuracy is obtained for the determination of the singleexponential model parameters. The method is easy to implement in a control process for device characterization. An application, achieved to observe the degradation of the emitter–base junction of a bipolar transistor during an aging experiment, shows that the evolutions of the single exponential model parameters versus time introduce a means for degradation quantification.

scholarly journals Design and implementation of an I-V curvetracer dedicated to characterize PV panels

2021 ◽  
Vol 11 (3) ◽  
pp. 2011
Author(s):  
Mansour Zegrar ◽  
M’hamed Houari Zerhouni ◽  
Mohamed Tarik Benmessaoud ◽  
Fatima Zohra Zerhouni
Keyword(s):  
Photovoltaic Effect ◽  
Experimental System ◽  
Experimental Results ◽  
Solar Irradiation ◽  
Photovoltaic Module ◽  
Solar Photovoltaic ◽  
Efficient Manner ◽  
Photovoltaic Modules ◽  
Curve Tracer ◽  
Current Voltage

In recent years, solar photovoltaic energy is becoming very important in the generation of green electricity. Solar photovoltaic effect directly converts solar radiation into electricity. The output of the photovoltaic module MPV depends on several factors as solar irradiation and cell temperature. A curve tracer is a system used to acquire the PV current-voltage characteristics, in real time, in an efficient manner. The shape of the I-V curve gives useful information about the possible anomalies of a PV device. This paper describes an experimental system developed to measure the current–voltage curve of a MPV under real conditions. The measurement is performed in an automated way. This present paper presents the design, and the construction of I-V simple curve tracer for photovoltaic modules. This device is important for photovoltaic (PV) performance assessment for the measurement, extraction, elaboration and diagnose of entire current-voltage I-V curves for several photovoltaic modules. This system permits to sweep the entire I-V curve, in short time, with different climatic and loads conditions. An experimental test bench is described. This tracer is simple and the experimental results present good performance. Simulation and experimental tests have been carried out. Experimental results presented good performance.

scholarly journals Mathematical Method for Parameters Calculation of electric Characteristic of Photovoltaic Module

2018 ◽  
Vol 3 (4) ◽  
pp. 190-200
Author(s):  
B. Benabdelkrim ◽  
A. Benatillah
Keyword(s):  
Standard Test ◽  
Photovoltaic Module ◽  
Unknown Parameters ◽  
Efficient Manner ◽  
Electric Characteristic ◽  
Precise Knowledge ◽  
Current Voltage ◽  
Pv Modules ◽  
Numerical Approaches ◽  
Parameters Calculation

The study of photovoltaic systems (PV) in an efficient manner requires a precise knowledge of the I-V characteristic curves of PV modules. An accurate current-voltage (I-V) model of PV modules is inherently implicit and non-linear and calls for iterative computations to obtain an analytical expression of current as a function of voltage. In this paper, numerical approaches are proposed to forecast the PV modules performance for engineering applications. The proposed approaches were implemented in a Matlab script and the results have been compared with the datasheet values provided by manufacturers in standard test conditions (STC). These approaches permit to extract the unknown parameters and also allow quantifying the effects of module temperature and irradiance on key cells parameters. In this work, a comparative study of the performance characteristics for different modules thin films and solid is analyzed by a single-diode equivalent circuit using four- and five-parameter models and two diode model.

scholarly journals Degradation analysis of installed solar photovoltaic (PV) modules under outdoor conditions in Ghana

2021 ◽  
Vol 7 ◽  
pp. 6921-6931
Author(s):  
Bernard Aboagye ◽  
Samuel Gyamfi ◽  
Eric Antwi Ofosu ◽  
Sinisa Djordjevic
Keyword(s):  
Solar Photovoltaic ◽  
Degradation Analysis ◽  
Pv Modules
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