Hybrid Optimization Approach for Evaluating Photovoltaic Cell Parameters

2013 ◽  
Vol 373-375 ◽  
pp. 1261-1264
Author(s):  
Mei Ying Ye
Keyword(s):  
Cell Model ◽  
Computation Time ◽  
Photovoltaic Cell ◽  
Evaluation Procedure ◽  
Model Parameters ◽  
Optimization Approach ◽  
Problem Space ◽  
Local Optima ◽  
Cell Parameters ◽  
Intelligent Technique

A new hybrid intelligent technique is proposed to evaluate photovoltaic cell model parameters in this paper. The intelligent technique is based on a hybrid of genetic algorithm (GA) and LevenbergMarquardt algorithm (LMA). In the proposed hybrid intelligent technique, the GA firstly searches the entire problem space to get a set of roughly estimated solutions, i.e. near-optimal solutions. Then the LMA performs a local optima search in order to carry out further optimizations. An example has been used to demonstrate the evaluation procedure in order to test the performance of the proposed approach. The results show that the proposed technique has better performance than the GA approach in terms of the objective function value, the computation time and the reconstructedI-Vcurve shape.

Photovoltaic Cell Parameters Identification Using Nonlinear Mathematical Programming

2013 ◽  
Vol 827 ◽  
pp. 186-190
Author(s):  
Helal Al-Hamadi
Keyword(s):  
Solar Cell ◽  
Mathematical Programming ◽  
Cell Model ◽  
Optimal Estimation ◽  
Photovoltaic Cell ◽  
Model Parameters ◽  
Programming Technique ◽  
Cell Parameters ◽  
Nonlinear Mathematical Programming ◽  
Cell Current

This paper proposes a mathematical programming based approach for optimal estimation of photovoltaic cell model parameters. In this study, solar cell models are used to represent the current-voltage characteristics of the solar cell. The model is represented as a non-linear function that relates the cell current and voltage with some parameters to be estimated. No direct general analytical solution exists for such function. Given the input-output characteristic data of the solar cell, a mathematical programming technique is used to solve a set of transcendental equations to optimally estimate the solar cell parameters.

Bouc-Wen Hysteresis Model Parameter Identification by Means of Hybrid Intelligent Technique

2010 ◽  
Vol 108-111 ◽  
pp. 1397-1402 ◽  
Author(s):  
Mei Ying Ye ◽  
Hui Jiang ◽  
You Sheng Xu ◽  
Xiao Dong Wang
Keyword(s):  
Parameter Identification ◽  
Optimization Method ◽  
Model Parameters ◽  
Hysteresis Model ◽  
Problem Space ◽  
High Quality ◽  
Simulation Experiments ◽  
Local Optima ◽  
Intelligent Technique ◽  
Marquardt Algorithm

A hybrid intelligent technique is proposed to identify Bouc-Wen hysteresis model parameters. This intelligent technique is based on a hybrid of genetic algorithm (GA) and Levenberg–Marquardt algorithm (LMA). In the hybrid intelligent technique, the GA, a popular evolutionary optimization method, firstly searches the entire problem space to get a set of roughly estimated solutions. The LMA, a well-known numerical method, then performs a local optima search in order to carry out further optimizations. The performance of the hybrid intelligent technique is compared with GA method in terms of parameter accuracy. The simulation experiments of Bouc-Wen hysteresis model with known parameters are illustrated to show that a high quality solution can be achieved by means of the hybrid intelligent technique. The concept of hybrid intelligent technique may benefit the parameter identification in diverse hysteresis model problems.

scholarly journals Estimation of Photovoltaic Cell Parameters Using Measurement Data of Photovoltaic Module String Currents and Voltages

2021 ◽  
Author(s):  
Shigeomi Hara ◽  
Hiroshi Douzono ◽  
Makoto Imamura
Keyword(s):  
Simulation Analysis ◽  
Cell Model ◽  
Measurement Data ◽  
String Model ◽  
Real Data ◽  
Photovoltaic Cell ◽  
Photovoltaic Module ◽  
Cell Parameters ◽  
Operating Environments ◽  
The Difference

Photovoltac (PV) models play an important role in the simulation analysis and fault diagnosis of PV systems. The<br>single diode model (SDM) is the most frequently used model in research and applications. There are numerous proposed methods to identify the SDM parameters. However, the characteristics of PV cells alter during the lifetime in normal operating environments; these variations may be due to degradation, faults, dust, weed, and so on. Therefore, it is crucial to estimate the actual parameters of the PV cells that represent those present state. The contribution of this study is to propose a method to estimate PV cell parameters on the basis of the measurement data regarding the currents and voltages of the PV module strings. A PV string model is described on the basis of the adaptive SDM for the PV cells in the system, and the parameters of each cell model are obtained by minimizing the difference between the measured string voltages and the string voltages computed by the model. The application of the proposed method to real data measured in a PV power plant is also presented to evaluate the proposed method.

scholarly journals Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Yourim Yoon ◽  
Zong Woo Geem
Keyword(s):  
Solar Cell ◽  
Least Squares Method ◽  
Memetic Algorithm ◽  
Cell Model ◽  
Harmony Search ◽  
Cuckoo Search ◽  
Photovoltaic Cell ◽  
Pattern Search ◽  
Cell Parameters ◽  
Local Searches

This study proposes a memetic approach for optimally determining the parameter values of single-diode-equivalent solar cell model. The memetic algorithm, which combines metaheuristic and gradient-based techniques, has the merit of good performance in both global and local searches. First, 10 single algorithms were considered including genetic algorithm, simulated annealing, particle swarm optimization, harmony search, differential evolution, cuckoo search, least squares method, and pattern search; then their final solutions were used as initial vectors for generalized reduced gradient technique. From this memetic approach, we could further improve the accuracy of the estimated solar cell parameters when compared with single algorithm approaches.

scholarly journals Estimation of Photovoltaic Cell Parameters Using Measurement Data of Photovoltaic Module String Currents and Voltages

2021 ◽  
Author(s):  
Shigeomi Hara ◽  
Hiroshi Douzono ◽  
Makoto Imamura
Keyword(s):  
Simulation Analysis ◽  
Cell Model ◽  
Measurement Data ◽  
String Model ◽  
Real Data ◽  
Photovoltaic Cell ◽  
Photovoltaic Module ◽  
Cell Parameters ◽  
Operating Environments ◽  
The Difference

Photovoltac (PV) models play an important role in the simulation analysis and fault diagnosis of PV systems. The<br>single diode model (SDM) is the most frequently used model in research and applications. There are numerous proposed methods to identify the SDM parameters. However, the characteristics of PV cells alter during the lifetime in normal operating environments; these variations may be due to degradation, faults, dust, weed, and so on. Therefore, it is crucial to estimate the actual parameters of the PV cells that represent those present state. The contribution of this study is to propose a method to estimate PV cell parameters on the basis of the measurement data regarding the currents and voltages of the PV module strings. A PV string model is described on the basis of the adaptive SDM for the PV cells in the system, and the parameters of each cell model are obtained by minimizing the difference between the measured string voltages and the string voltages computed by the model. The application of the proposed method to real data measured in a PV power plant is also presented to evaluate the proposed method.

scholarly journals EQUIVALENT MODELS FOR PHOTOVOLTAIC CELL – A REVIEW

2020 ◽  
Vol 19 (2) ◽  
pp. 77
Author(s):  
N. M. F. T. S. Araújo ◽  
F. J. P. Sousa ◽  
F. B. Costa
Keyword(s):  
Cell Model ◽  
Photovoltaic Cell ◽  
Circuit Model ◽  
Equivalent Model ◽  
Future Research ◽  
Model Parameters ◽  
Solar Pv ◽  
Point Tracking ◽  
Pv Cell ◽  
Power Point

Over the years, the contribution of photovoltaic energy to an eco-friendly world is continually increasing. Photovoltaic (PV) cells are commonly modelled as circuits, so finding the appropriate circuit model parameters of PV cells is crucial for performance evaluation, control, efficiency computations and maximum power point tracking of solar PV systems. The problem of finding circuit model of solar PV cells is referred to as “PV cell equivalent model problem”. In this paper, the existing research works on PV cell model parameter estimation problem are classified according to error quali-quantitative analysis, number of parameters, translation equations and PV technology. The existent models were discussed pointing out its different levels of approximation. A qualitative comparative ranking was made and four models were found to be the best ones for simulating PV cells. Besides, based on the conducted review, some recommendations for future research are provided.

scholarly journals Model of a Photovoltaic Cell for the MatLab/Simulink SimPowerSystems Library

2019 ◽  
Vol 62 (2) ◽  
pp. 135-145 ◽  
Author(s):  
D. I. Zalizny
Keyword(s):  
Solar Irradiance ◽  
Power Plants ◽  
Cell Model ◽  
Photovoltaic Cell ◽  
Design Stage ◽  
Photovoltaic Module ◽  
Model Parameters ◽  
Matlab Simulink ◽  
Photovoltaic Modules ◽  
Simulink Model

A new Simulink model of a photovoltaic cell has been proposed. The model is focused on the use of a standard SimPowerSystems library with power engineering elements from the MatLab/Simulink software package. The model allows altering the values of solar irradiance, photovoltaic cell temperature and load resistance. The results of the model application are the calculated values of voltages and currents at the photovoltaic cell output. The Simulink model that has been developed implements the known dependence of the photovoltaic cell volt-ampere characteristic by using both standard MatLab/Simulink blocks and special electric SimPowerSystems library blocks. The model is characterized by the fact that the series and parallel resistance of the photovoltaic cell are made in the form of resistors from the SimPowerSystems library. The main calculation algorithm is implemented programmatically by using the “C” programming language. To increase the algorithm stability to algebraic cycles the restrictions parameters are introduced. A new technique of calculating the photovoltaic cell model parameters based on experimental data has been proposed. The technique includes the preparation of a system of equations with experimental values of the photovoltaic cell voltages and currents. Experimental tests have been carried out for the photovoltaic module OSP XTP 250 under different solar irradiance values. The tests showed that the relative error of the Simulink model that has been developed does not exceed 12 %. The Simulink model makes it possible to build photovoltaic modules and then to build schemes of photovoltaic power plants as a part of power supply systems. Due to the latter it is possible to simulate the electricity consumers’ work, weather conditions, and the presence of shadows or pollution on the surface of photovoltaic modules. Also, one can carry out a simulation of increasing failures in power plant photovoltaic modules, e.g. simulating of modules efficiency reducing because of their degradation, or simulating of modules series resistance increasing because of the photovoltaic cell internal contacts deterioration. The Simulink model that has been developed can be used both at the design stage and at the stage of photoelectric power plants operation.

scholarly journals Hierarchical optimization for the efficient parametrization of ODE models

2018 ◽  
Author(s):  
Carolin Loos ◽  
Sabrina Krause ◽  
Jan Hasenauer
Keyword(s):  
Optimization Problem ◽  
Computation Time ◽  
Nuisance Parameters ◽  
Hierarchical Optimization ◽  
Model Parameters ◽  
Optimization Approach ◽  
Cellular Processes ◽  
Ode Models ◽  
Scaling Parameters ◽  
Convergence Problems

AbstractMathematical models are nowadays important tools for analyzing dynamics of cellular processes. The unknown model parameters are usually estimated from experimental data. These data often only provide information about the relative changes between conditions, hence, the observables contain scaling parameters. The unknown scaling parameters and corresponding noise parameters have to be inferred along with the dynamic parameters. The nuisance parameters often increase the dimensionality of the estimation problem substantially and cause convergence problems. In this manuscript, we propose a hierarchical optimization approach for estimating the parameters for ordinary differential equation (ODE) models from relative data. Our approach restructures the optimization problem into an inner and outer subproblem. These subproblems possess lower dimensions than the original optimization problem, and the inner problem can be solved analytically. We evaluated accuracy, robustness, and computational efficiency of the hierarchical approach by studying three signaling pathways. The proposed approach achieved better convergence than the standard approach and required a lower computation time. As the hierarchical optimization approach is widely applicable, it provides a powerful alternative to established approaches.

scholarly journals Simple vs complex models for solar cells

2019 ◽  
Vol 85 ◽  
pp. 04004
Author(s):  
Andreea Săbăduş ◽  
Marius Paulescu
Keyword(s):  
Solar Cell ◽  
Cell Model ◽  
Specific Model ◽  
Photovoltaic Module ◽  
Model Parameters ◽  
Cell Parameters ◽  
Large Dispersion ◽  
Current Voltage ◽  
Complex Models ◽  
Current Voltage Characteristics

In this paper three different procedures for extracting the current-voltage characteristics of a crystalline photovoltaic module are studied. Each procedure is associated to a solar cell model characterized by a well-defined degree of complexity. The results emphasize that the simple models approximate the current-voltage characteristics of a solar cell as good as the more complex models. Even if all the procedures analysed in this paper approximate well the measured characteristics, the specific model parameters experience a large dispersion. From a broader perspective, the results raise a question mark on the ability of the current procedures to accurately extract the solar cell parameters.

scholarly journals THREE-DIODE MODEL AND SIMULATION OF PHOTOVOLTAIC (PV) CELLS

2019 ◽  
pp. 108-116
Keyword(s):  
Cell Model ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Photovoltaic Cell ◽  
Open Circuit ◽  
Cell Parameters ◽  
Model And Simulation ◽  
Pv Cell ◽  
Mathematical Equations ◽  
Model Equations

Existing empirical solar cell models use one or two diodes. As the number of diodes in a model increases, the mathematical complexity in deriving model equations also increases. In this paper, a photovoltaic cell is modeled using three diodes. Non-linear mathematical equations governing the I-V and P-V characteristics are summarized and simulated using Matlab looping iterative method. All simulations were performed in Matlab. Comparison is made between all models (one, two and three-diode) for design verification. Results obtained show that as the number of diodes increases in a PV cell model, the open circuit voltage and maximum power decreases for a given set of PV cell parameters. The short circuit current remained at a fixed value irrespective of the number of diodes.

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