Modelling and Predicting of the Characteristics of a Photovoltaic Generator on a Horizontal and Tilted Surface

In the present paper, we will attempt to predict the Ipv-Vpv output characteristic of a photovoltaic generator (PVG) and consequently the generated electric power. This will be possible through modeling, extracting the electrical parameters of the PVG under study and also, by estimating the global incident solar radiation, on a surface, first horizontally, and then tilted to a given angle. Mathematical models developed in Matlab, to characterize the studied PVG are validated by experimental data of the PVG manufacture. While models associated with global radiation are validated by measurements taken by the meteorological station installed on the laboratory site ERTAIER (Team for Research in Technology and Advanced Engineering of Renewable Energies) of Higher School of Technology Agadir (ESTA).

Evaluation of the Energy Performance of the Amougdoul Wind Farm, Morocco

This paper is concerned with the assessment of the the performance of the Amougdoul wind farm. We have determined the Weibull parameters; namely the scale parameter, c (m/s) and shape parameter, k. After that, we have estimated energy output by a wind turbine using two techniques: the useful power calculation method and the method based on the modeling of the power curve, which is respectively 134.5 kW and 194.19 KW corresponding to 27% and 39% of the available wind energy, which confirm that the conversion efficiency does not exceed 40%

Benchmarking study between capacitive and electronic load technic to track I-V and P-V of a solar panel

To detect defects of solar panel and understand the effect of external parameters such as fluctuations in illumination, temperature, and the effect of a type of dust on a photovoltaic (PV) panel, it is essential to plot the Ipv=f(Vpv) characteristic of the PV panel, and the simplest way to plot this I-V characteristic is to use a variable resistor. This paper presents a study of comparison and combination between two methods: capacitive and electronic loading to track I-V characteristic. The comparison was performed in terms of accuracy, response time and instrumentation cost used in each circuit, under standard temperature and illumination conditions by using polycrystalline solar panel type SX330J and monocrystalline solar panels type ET-M53630. The whole system is based on simple components, less expensive and especially widely used in laboratories. The results will be between the datasheet of the manufacturer with the experimental data, refinements and improvements concerning the number of points and the trace time have been made by combining these two methods

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

Study of the Energy Performance of Different PV Arrays Configurations Under Partial Shading

The objective of this paper is to study the energy performance and electrical behavior of possible configurations for photovoltaic Arrays under different partial shading scenarios in order to determine the most suitable and cost effective configuration. The studied configurations in this work are: Series (S), parallel (P), series-parallel (SP), Total Cross Tied (TCT), Bridge Linked (BL) and Honey-Comb (HC). The simulation results provide information on the electrical behavior and energy efficiency of PV Arrays under different scenarios of partial shading and in uniform conditions

MPPT of PV System Under Partial Shading Conditions Based on Bio-inspired Swarm Intelligence Technique

To respond to the increase in demand for electricity, the use of photovoltaics is growing considerably as it produces electrical energy without polluting the environment. In addition, to enhance the efficiency of photovoltaic modules, an MPPT algorithm is required to follow the maximum voltage and maximum current in the IV curve. This technique can be achieved by using a DC-DC converter. For this purpose, various MPPT techniques have been developed. The combination of MPPT and DC-DC converter is implemented using Matlab/Simulink and connected to a modelled PV module to validate the simulation

Implementation in Arduino of MPPT Using Variable Step Size P&O Algorithm in PV Installations

In order to maximize the electric energy production of a photovoltaic generator (PVG), the maximum power point tracking (MPPT) methods are usually used in photovoltaic systems. The principle of these techniques is to operate the PVG to the maximum power point (MPP), which depends on the environmental factors, such as solar irradiance and ambient temperature, ensuring the optimal power transfer between PVG and load. In this paper, we present the implementation of two digital MPPT commands using the Arduino Mega type. The two proposed MPPT controls are based on the algorithm of perturb and observe (P&O), the first one with fixed perturbation step and the second one with two perturbations step varying with some conditions. The experimental results show that the P&O algorithm with variable step perturbation gives good results compared to the P&O algorithm with fixed perturbation step in terms of the time response and the oscillations around the MPP

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