scholarly journals Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions

2021 ◽  
pp. 46-53
Author(s):  
F. Akbar ◽  
T. Mehmood ◽  
K. Sadiq ◽  
M.F. Ullah
Keyword(s):  
Series Resistance ◽  
Least Square Method ◽  
Least Square ◽  
Flower Pollination Algorithm ◽  
Solar Photovoltaic ◽  
Saturation Current ◽  
Unknown Parameters ◽  
Shunt Resistance ◽  
Flower Pollination ◽  
Diode Ideality Factor

Introduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearly realistic curves for the solar cell model it is needed to estimate unknown parameters with utmost precision. The five unknown parameters include diode-ideality factor, shunt-resistance, photon-current, diode dark saturation current, and series-resistance. Novelty. The proposed research method hybridizes flower pollination algorithm with least square method to better estimate the unknown parameters, and produce more realistic curves. Methodology. The proposed method shows many promising results that are more realistic in nature, as compared to other methods. Shunt-resistance and series-resistance are considered and diode constant is not neglected in this approach that previously has been in practice. The values of series-resistance and diode-ideality factor are found using flower pollination algorithm while shunt-resistance, diode dark saturation current and photon-current are found through least square method. Results. The combination of these techniques has achieved better results compared to other techniques. The simulation studies are carried on MATLAB/Simulink.

scholarly journals Numerical approach for extraction of photovoltaic generator single-diode model parameters

2021 ◽  
Vol 2 (2) ◽  
pp. 58-66
Author(s):  
Abdelaaziz Benahmida ◽  
Noureddine Maouhoub ◽  
Hassan Sahsah
Keyword(s):  
Ideality Factor ◽  
Series Resistance ◽  
Least Square Method ◽  
Numerical Approach ◽  
Least Square ◽  
Physical Parameters ◽  
Model Parameters ◽  
Shunt Resistance ◽  
Key Points ◽  
Photovoltaic Generators

In this work, a numerical approach has been proposed to estimate the five single-diode circuit model physical parameters of photovoltaic generators from their experimental current-voltage characteristics. Linear least square method has been used to solve the system of three linear equations to express the shunt resistance, the saturation current and the photocurrent as a function of the series resistance and the ideality factor. Two key points have been used to solve the system of two nonlinear equations to extract values of series resistance and ideality factor. The advantage of the proposed method with respect of existing numerical techniques is that use only two key points of the experimental characteristic and need only two initial guesses and does not use any approximation. To evaluate the proposed method, three PV generators data have been used to compare the experimental and the theoretical curves. The application of the proposed method provides a good agreement with the experimental.

scholarly journals Simulations Based on Experimental Data of the Behaviour of a Monocrystalline Silicon Photovoltaic Module

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Abraham Dandoussou ◽  
Martin Kamta ◽  
Laurent Bitjoka ◽  
Patrice Wira ◽  
Alexis Kuitché
Keyword(s):  
Experimental Data ◽  
Ideality Factor ◽  
Extraction Method ◽  
Series Resistance ◽  
Least Square Method ◽  
Monocrystalline Silicon ◽  
Least Square ◽  
Photovoltaic Module ◽  
Saturation Current ◽  
Reverse Saturation Current

The performance of monocrystalline silicon cells depends widely on the parameters like the series and shunt resistances, the diode reverse saturation current, and the ideality factor. Many authors consider these parameters as constant while others determine their values based on the I-V characteristic when the module is under illumination or in the dark. This paper presents a new method for extracting the series resistance, the diode reverse saturation current, and the ideality factor. The proposed extraction method using the least square method is based on the fitting of experimental data recorded in 2014 in Ngaoundere, Cameroon. The results show that the ideality factor can be considered as constant and equal to 1.2 for the monocrystalline silicon module. The diode reverse saturation current depends only on the temperature. And the series resistance decreases when the irradiance increases. The extracted values of these parameters contribute to the best modeling of a photovoltaic module which can help in the accurate extraction of the maximum power.

Identification of Nonlinear Systems by Haar Wavelet

2004 ◽  
Author(s):  
Shy-Leh Chen ◽  
Keng-Chu Ho
Keyword(s):  
Nonlinear Systems ◽  
Least Square Method ◽  
Haar Wavelet ◽  
State Equation ◽  
Least Square ◽  
Algebraic Equations ◽  
Function Form ◽  
Unknown Parameters ◽  
Complete Orthogonal Basis ◽  
Unknown System

This study addresses the identification of autonomous nonlinear systems. It is assumed that the function form in the nonlinear system is known, leaving some unknown parameters to be estimated. It is also assumed that the free responses of the system can be measured. Since Haar wavelets can form a complete orthogonal basis for the appropriate function space, they are used to expand all signals. In doing so, the state equation can be transformed into a set of algebraic equations in unknown parameters. The technique of Kronecker product is utilized to simplify the expressions of the associated algebraic equations. Together with the least square method, the unknown system parameters are estimated. Several simulation examples verify the analysis.

scholarly journals Optimization of Maximum Power Point Tracking Flower Pollination Algorithm for a Standalone Solar Photovoltaic System

2020 ◽  
Vol 39 (2) ◽  
pp. 267-278
Author(s):  
Muhammad Mateen Afzal Awan ◽  
Tahir Mahmood
Keyword(s):  
Weather Conditions ◽  
Maximum Power ◽  
Flower Pollination Algorithm ◽  
Global Maximum ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Flower Pollination ◽  
Multiple Power ◽  
Power Point

Modern-day world is facing problems such as, electricity generation deficiency, mounting energy demand, GHG (Greenhouse Gas) emissions, reliability and soaring prices. To resolve these issues, sustainable and renewable energy resources like SPV (Solar Photovoltaic) would be quite helpful. In this regard, the extraction of maximum power from SPV array in PSC (Partial Shading Weather Conditions) remains a challenge. Creation of multiple power peaks in the P-V (Power-Voltage) curve of a PV array due to partial shading, makes it difficult to track GMPP (Global Maximum Power Point) out of multiple power peaks known as LMPP (Local Maximum Power Points). Conventional algorithms are not able to perform in any condition other than UWC (Uniform Weather Condition). Nature inspired SC (Soft Computing) algorithms efficiently track the GMPP in PSC. The top performing SC algorithm named, FPA (Flower Pollination Algorithm) presents an efficient solution for GMPP tracking in PSCs. In this paper, the efficiency, accuracy and tracking speed of FPA algorithm is optimized. Comparison of the proposed OFPA (Optimized Flower Pollination Algorithm) and the existing FPAs is performed for zero shading condition, weak PSC, strong PSC, and changing weather conditions. In zero shading conditions, improvement of 0.7% in efficiency and 33% in tracking speed is achieved. In weak shading conditions, improvement of 0.97% in efficiency and 32.2% in tracking speed is achieved. In strong shading conditions, improvement of 0.24% in efficiency and 30.6% in tracking speed is achieved. OFPA is also tested for changing weather conditions (entering from Case-1 to Cae-3) and it retains its outstanding performance in the changing weather conditions. Simulations are performed in MATLAB/Simulink.

Parametric Identification of Nonlinear Systems by Haar Wavelets: Theory and Experimental Validation

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
Shy-Leh Chen ◽  
Jin-Wei Liang ◽  
Keng-Chu Ho
Keyword(s):  
Nonlinear Systems ◽  
Chaotic System ◽  
Least Square Method ◽  
Parametric Identification ◽  
State Equation ◽  
Least Square ◽  
Haar Wavelets ◽  
Largest Lyapunov Exponent ◽  
Algebraic Equations ◽  
Unknown Parameters

This study addresses the identification of nonlinear systems. It is assumed that the function form in the nonlinear system is known, leaving some unknown parameters to be estimated. Since Haar wavelets can form a complete orthogonal basis for the appropriate function space, they are used to expand all signals. In doing so, the state equation can be transformed into a set of algebraic equations in unknown parameters. The technique of Kronecker product is utilized to simplify the expressions of the associated algebraic equations. Together with the least square method, the unknown system parameters are estimated. The proposed method is applied to the identification of an experimental two-well chaotic system known as the Moon beam. The identified model is validated by comparing the chaotic characteristics, such as the largest Lyapunov exponent and the correlation dimension, of the experimental data with that of the numerical results. The simple least square approach is also performed for comparison. The results indicate that the proposed method can reliably identify the characteristics of the nonlinear chaotic system.

scholarly journals Influences of Low Intensity on Diode Parameters of CdTe Solar Cells

Materials ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2194
Author(s):  
Xiaobo Xu ◽  
Wenping Gu ◽  
Xiaoyan Wang ◽  
Wei Zhu ◽  
Lin Zhang ◽  
...  
Keyword(s):  
Solar Cells ◽  
Series Resistance ◽  
Short Circuit ◽  
Illumination Intensity ◽  
Saturation Current ◽  
Shunt Resistance ◽  
Cdte Solar Cells ◽  
Parameter Variations ◽  
Small Intensity ◽  
Saturation Current Density

This study deals with the CdS/CdTe solar cells under low illumination intensity, with cell #1 for the shunt resistance exceeding 100,000 Ω·cm2 and cell #2 for the shunt resistance above 1000 Ω·cm2. The diode parameter variations with the decline of the irradiance intensity are illustrated by dividing 0–100 mW/cm−2 into a number of small intensity ranges for J–V measurements and assuming the diode parameters to be constant within each range, the diode parameters of each range including the series resistance, the shunt resistance, the reverse saturation current density and the ideality factor are then extracted by employing an analytical approach. The mechanism of the cell performance deviations are also investigated by basic theories, reports and experiments. For cell #1 with higher Rsh corresponding to less traps, Rsh shows a upward tendency as the irradiance declines, n and J0 exhibit a rise with the irradiance and keep nearly unchanged at the low irradiance values mainly due to recombination and carrier contributions, Rs shows a slight increase when the irradiance intensity goes down because of the resistance of CdTe absorption layer. For cell #2 with lower Rsh corresponding to more traps, with the decrease of the illumination intensity, Rsh increases sharply only for captured carrier reduction, Rs goes steadily up similarly, n and J0 exhibit a decline with the irradiance due to recombination shift. It should be pointed out that Rs varies much smoother than the traditional approximation of a reciprocal of differential at short circuit, and the distribution of Rsh is diverse, and an average Rsh of for each intensity range can reflect the variation trend.

scholarly journals Kalman filter estimation of RLC parameters for UMP transmission line

2018 ◽  
Vol 150 ◽  
pp. 01017
Author(s):  
Siti Nur Aishah Mohd Amin ◽  
Hamzah Ahmad ◽  
Mohd Rusllim Mohamed
Keyword(s):  
Kalman Filter ◽  
Transmission Line ◽  
Least Square Method ◽  
Least Square ◽  
System Efficiency ◽  
Power Losses ◽  
Unknown Parameters ◽  
Matlab Simulink ◽  
Simulink Model

This paper present the development of Kalman filter that allows evaluation in the estimation of resistance (R), inductance (L), and capacitance (C) values for Universiti Malaysia Pahang (UMP) short transmission line. To overcome the weaknesses of existing system such as power losses in the transmission line, Kalman Filter can be a better solution to estimate the parameters. The aim of this paper is to estimate RLC values by using Kalman filter that in the end can increase the system efficiency in UMP. In this research, matlab simulink model is developed to analyse the UMP short transmission line by considering different noise conditions to reprint certain unknown parameters which are difficult to predict. The data is then used for comparison purposes between calculated and estimated values. The results have illustrated that the Kalman Filter estimate accurately the RLC parameters with less error. The comparison of accuracy between Kalman Filter and Least Square method is also presented to evaluate their performances.

Modeling and Analysis of Size Effects on Pure Copper Mechanical Behaviors in Micro Scale Plastic Deformation Processes

2013 ◽  
Vol 705 ◽  
pp. 424-428
Author(s):  
Qian Wang ◽  
Xiang Huai Dong ◽  
Hai Ming Zhang ◽  
Fang Peng
Keyword(s):  
Plastic Deformation ◽  
Size Effects ◽  
Pure Copper ◽  
Least Square Method ◽  
Least Square ◽  
Surface Model ◽  
Comprehensive Model ◽  
Mechanical Behaviors ◽  
Experiment Data ◽  
Unknown Parameters

To verify the applicability of a comprehensive constitutive model, which was proposed to analyze size effects in micro plastic deformation, mechanical behaviors of pure copper was adopted as the investigated subject. Unknown parameters were fitted through least square method, and calculated results were compared with experiment data of pure copper as well as those obtained by surface model. Predicted results by the comprehensive model show good agreement with experiment data. Three distinct mechanical domains appear indicating that for pure copper two critical thickness to grain size ratios exist, between which stresses vary rapidly. When concerning the situation of pure copper with only one or several grains across thickness, surface model tends to fail while the comprehensive model performs well, which further verifies the validity and applicability of the comprehensive model.

scholarly journals Flower Pollination Algorithm for the Inversion of Schlumberger Sounding Curve

2021 ◽  
Vol 873 (1) ◽  
pp. 012018
Author(s):  
F Raflesia ◽  
W Widodo
Keyword(s):  
Synthetic Data ◽  
Least Square ◽  
Flower Pollination Algorithm ◽  
Grey Wolf Optimizer ◽  
Local Optimum ◽  
Initial Model ◽  
Linear Inversion ◽  
Flower Pollination ◽  
Non Linear ◽  
Schlumberger Sounding

Abstract Inversion of schlumberger sounding curve is non-linear, and multi-minimum. All linear inversion strategies can produce local optimum, and depend on the initial model. Meanwhile, the non-linear bionic method for inversion problems does not require an initial model, simple, flexible, derivation-free mechanism and can avoid local optimum. One of the new algorithm of the non-linear bionic method for geophysical inversion problem is the Flower Pollination Algorithm (FPA). The FPA is used for the inversion of schlumberger sounding curve. This algorithm was stimulated by the pollination process for blooming plants. The applicability of the present algorithm was tested on synthetic models A-type and KH-type curve. Numerical tests in MATLAB R2013a for the synthetic data and the observed data show that FPA can find the global minimum. For further study, inverted results using the FPA are contrasted with the damped least-square (DLSQR) inversion program, Particle Swarm Optimization (PSO), and Grey Wolf Optimizer (GWO). The outcomes of the comparison reveal that FPA performs better than the DLSQR inversion program, PSO, and GWO.

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