Parameters identification and optimization of photovoltaic panels under real conditions using Lambert W-function

This paper proposes a new approach based on Lambert W-function to extract the electrical parameters of photovoltaic (PV) panels. This approach can extract the optimal electrical characteristics of the PV panel under variable conditions of irradiation and temperature. Three benchmarking panels (shell SP70 monocrystalline silicon, shell ST40 thin film, and KC200GT Polycrystalline Silicon) are demonstrated and analyzed considering the electrical characteristics provided by the manufacturers. A comprehensive assessment is carried out under different weather condition to validate the capability and the robustness of the proposed approach. Furthermore, the simulated output characteristics of the three modules Photovoltaic are almost comparable and reproduce faithfully the manufacturer’s experimental data The novelty of this study is the using a new hybrid analytical and numerical method that straight forward and effective given value of Root mean square error less than those obtained by others methods that indicate the estimated results are very close to the experimental values provided by the manufacturers

A novel hybrid numerical with analytical approach for parameter extraction of photovoltaic modules

Building an accurate mathematical model of photovoltaic modules is an essential issue for providing reasonable analysis, control and optimization of photovoltaic energy systems. Therefore, this study provides a new accurate model of photovoltaic Panels based on single diode Model. In this case, the proposed model is the link between two models which are the ideal model and the resistance network. All parameters are estimated based on hybrid Analytical/Numerical approach: three parameters photocurrent, reverse saturation current and ideality factor are obtained using an Analytical approach based on the datasheet provided by the manufacturer under Standard Test Conditions. The series and shunt resistances are obtained by using a Numerical approach similar to the Villalva's method in order to achieve the purpose of modeling the resistance network part. Our model is tested with data from the manufacturer of three different technologies namely polycrystalline, Mono-crystalline silicon modules and thin-film based on Copper Indium Diselenide, and for more accurate performance evaluation we are introducing the Average Relative Error and the Root Mean Square Error. The simulated Current-Voltage and Power-Voltage curves are in accordance with experimental characteristics, and there is a strong agreement between the proposed model and the experimental characteristics. The computation time is 0.23 s lower than those obtained using others approach, and all obtained results under real environment conditions are also compared with different models and indicated that the proposed model outperforms the others approach such as villalva's and kashif's method

Experimental Analysis of Water-1MHz-gasified with O2, and Simulation Analysis of Physicals Parameters Effect of Solvents in Megasonic Cleaning

Aqueous chemicals and solvents are used heavily in semiconductor manufacturing, and device manufacturers are focused on advancing these cleaning liquids to the next technology node. The scientific results confirm that ultrasonic agitation can improve the removal of particles. Megasonic energy has been proven to improve particle elimination in semiconductor devices in cleaning procedures. On the other hand, applied ultrasonic energy may damage the sensible devices in the cleaning process. In order to better comprehend, we explore in this paper the impact of different liquid properties by showing the transient cavitation threshold by performing some simulations with the analytical Blake model and the numerical Gilmore model. The experimental setup firstly to understand the temporal and spectral response of the increasing of the electrical power, and secondly to investigate that increasing the gas level in the cleaning bath in Water-1MHz-gasified with O_2 modifies the acoustical pressure in the medium. We can conclude that the experimental measurements and simulation studies of the applicable sound wave field and cavitation level provide an important indication of the medium's properties. By proceeding in this manner, we can find the impact parameters on the onset of transient cavitation and the safe area to treat client wafers. At this point, we can figure out the cavitation threshold that works for us and safely translate it from one chemical process to another

A novel numerical method for estimation the photovoltaic cells/modules parameters based on dichotomy method

The demand for photovoltaic (PV) energy has been growing in recent years, parallel to an increase in scientific research about the PV cells, such as the electrical modelling and extraction of unknown PV model parameters. This paper introduces a highly efficient and straightforward numerical method to determine the unknown parameters for the single-diode model. The proposed approach utilizes Dichotomy (Bisection) to estimate the series resistance Rs and an iterative process to determine the diode ideality factor a and the parameters that achieve the minimum Root Square Error (RMSE). The proposed approach has been tested on five cells/modules from different technologies. The results show that the proposed approach outperforms various analytical, numerical, and meta-heuristic approaches in terms of accuracy. The RMSE produced by the proposed method is in order of 7.8514e-04 A and 2.2256e-03 A for the RTC France cell and the PWP201 module, respectively

Dandelion Optimizer algorithm-based method for accurate photovoltaic model parameter identification

The utilization of photovoltaic (PV) energy has experienced a significant surge in the last few decades, resulting in a rise in research endeavours to comprehend its workings better. One of the focal points of this research is the electrical modelling of PV cells and modules. Several equivalent circuits have been proposed to model them, such as the single-diode (SDM), double-diode (DDM), and triple-diode model (TDM). The main challenge is identifying the optimal circuit model parameters. This study introduces a novel method based on a metaheuristic algorithm named Dandelion Optimizer (DO) coupled with a numerical method Newton-Raphson (NR) to estimate the PV parameters. Various PV models, including the single-diode model (SDM) and double-diode model (DDM), were utilized by the proposed method (DONR) to determine the PV parameters of six different cells and modules, such as RTC France, Photowatt-PWP201, and STP6-120/36. A comparative analysis was conducted with ten other widely recognized metaheuristic methods to demonstrate the effectiveness of the proposed method. The results demonstrate that the proposed algorithm is more accurate in estimating the optimal PV parameters than the other methods. According to the experimental results, the proposed method is superior to other methods in accurately estimating the optimal PV parameters in terms of accuracy, reliability, and convergence. Specifically, the root mean squared error values obtained by the proposed method using (SDM, DDM) for RTC France, PWP201, and STP6-120/36 are (7.73939E-04, 7.56515E-04), (2.08116E-03, 2.07842E-03) and (1.42575E-02, 1.45952E-02), respectively