An AIS Based Approach for Extraction of PV Module Parameters
01 Jan 2016-pp 405-422
TL;DR: The calculation of the parameter extraction of photovoltaic panel using artificial immune system (AIS) and compared with genetic algorithm using MATLAB, Simulink at different environmental conditions to decide the suitable computational technique to build an accurate and efficient simulators for a PV system.
Abstract: This article presents the calculation of the parameter extraction of photovoltaic (PV) panel using artificial immune system (AIS) and compared with genetic algorithm (GA) using MATLAB, Simulink at different environmental conditions (for different irradiations (200–1000 w/m2)). The proposed method showing Ipv versus Vpv curves and to compare the obtained curve to the ideal values in order to obtain the absolute error curve. For extracting parameters of a PV cell, the proposed method useful because it can handle nonlinear functions. The proposed method compared with manual data and are validated by three different types of PV modules named as, Multi-crystalline (SHELL S36), Mono-crystalline (SHELL SP70) and Thin-film (SHELL ST40). Data derived from these calculations beneficial to decide the suitable computational technique to build an accurate and efficient simulators for a PV system.
Citations
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TL;DR: A simulation program for calculating the IV-curve for series connected PV-modules during partial shadowing has been developed and experimentally validated and can be used for simulating the influence of shading on the power of a string.
Abstract: A simulation program for calculating the IV-curve for series connected PV-modules during partial shadowing has been developed and experimentally validated. The software used for modelling the modules is LTspice IV. The validation has been done by means of a comparative analysis using the experimental results obtained in a set of tests performed on the mono-crystalline modules of the Gavle University’s laboratory in Sweden. Experimental measurements were carried out in two groups. The first group is a string of six modules with bypass diodes while the second one corresponds to a single PV module. The simulation results of both groups demonstrated a remarkable agreement with the experimental data, which means that the designed model can be used for simulating the influence of shading on the power of a string. The model has been used for analysing the performance of strings of PV modules with shadows and the benefits of installing DC-DC optimizers or module inverters, that minimise the impact of shading, have been investigated.
46 citations
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TL;DR: The proposed method evaluates the parameters of different PV panels at various irradiance levels and shows that GSA is much suitable for parameter extraction problem.
Abstract: Parameter extraction of a solar photovoltaic system is a nonlinear problem. Many optimization algorithms are implemented for this purpose, which failed in giving better results at low irradiance levels. This article presents a novel method for parameter extraction using gravitational search algorithm. The proposed method evaluates the parameters of different PV panels at various irradiance levels. A critical evaluation and comparison of gravitational search algorithm with other optimization techniques such as genetic algorithm are given. Extensive simulation analyses are carried out on the proposed method and show that GSA is much suitable for parameter extraction problem.
9 citations
Cites background from "An AIS Based Approach for Extractio..."
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01 Mar 2019
TL;DR: A novel approach of parameter extraction using a gravitational search algorithm to solve the non-linear problem for the extraction of parameters in a solar photovoltaic system using the MGSA.
Abstract: This paper proposes a non-linear problem for the extraction of parameters in a solar photovoltaic system. As many of the optimization algorithms used so far does not work at the low irradiance level a novel approach of parameter extraction using a gravitational search algorithm is presented. At different irradiance level, different parameters of various PV panels are evaluated. The results and critical evaluation of MGSA optimization approach are then compared with genetic and gravitational search algorithms. The simulation MATLAB output confirms the suitability of the MGSA for parameter extraction of solar PV panels.
References
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TL;DR: In this article, the authors proposed a method of modeling and simulation of photovoltaic arrays by adjusting the curve at three points: open circuit, maximum power, and short circuit.
Abstract: This paper proposes a method of modeling and simulation of photovoltaic arrays. The main objective is to find the parameters of the nonlinear I-V equation by adjusting the curve at three points: open circuit, maximum power, and short circuit. Given these three points, which are provided by all commercial array data sheets, the method finds the best I-V equation for the single-diode photovoltaic (PV) model including the effect of the series and parallel resistances, and warranties that the maximum power of the model matches with the maximum power of the real array. With the parameters of the adjusted I-V equation, one can build a PV circuit model with any circuit simulator by using basic math blocks. The modeling method and the proposed circuit model are useful for power electronics designers who need a simple, fast, accurate, and easy-to-use modeling method for using in simulations of PV systems. In the first pages, the reader will find a tutorial on PV devices and will understand the parameters that compose the single-diode PV model. The modeling method is then introduced and presented in details. The model is validated with experimental data of commercial PV arrays.
3,406 citations
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TL;DR: The proposed PSO method was indeed more efficient and robust in improving the step response of an AVR system and had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency.
Abstract: In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters of an AVR system using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated in detail how to employ the PSO method to search efficiently the optimal PID controller parameters of an AVR system. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency. Fast tuning of optimum PID controller parameters yields high-quality solution. In order to assist estimating the performance of the proposed PSO-PID controller, a new time-domain performance criterion function was also defined. Compared with the genetic algorithm (GA), the proposed method was indeed more efficient and robust in improving the step response of an AVR system.
1,367 citations
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TL;DR: In this paper, a MATLAB-based modeling and simulation scheme is presented for studying the I-V and P-V characteristics of a PV array under a nonuniform insolation due to partial shading.
Abstract: The performance of a photovoltaic (PV) array is affected by temperature, solar insolation, shading, and array configuration. Often, the PV arrays get shadowed, completely or partially, by the passing clouds, neighboring buildings and towers, trees, and utility and telephone poles. The situation is of particular interest in case of large PV installations such as those used in distributed power generation schemes. Under partially shaded conditions, the PV characteristics get more complex with multiple peaks. Yet, it is very important to understand and predict them in order to extract the maximum possible power. This paper presents a MATLAB-based modeling and simulation scheme suitable for studying the I-V and P-V characteristics of a PV array under a nonuniform insolation due to partial shading. It can also be used for developing and evaluating new maximum power point tracking techniques, especially for partially shaded conditions. The proposed models conveniently interface with the models of power electronic converters, which is a very useful feature. It can also be used as a tool to study the effects of shading patterns on PV panels having different configurations. It is observed that, for a given number of PV modules, the array configuration (how many modules in series and how many in parallel) significantly affects the maximum available power under partially shaded conditions. This is another aspect to which the developed tool can be applied. The model has been experimentally validated and the usefulness of this research is highlighted with the help of several illustrations. The MATLAB code of the developed model is freely available for download.
1,027 citations
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TL;DR: In this paper, an analytical solution for the rapid extraction of single and double-diode model parameters from experimental data is described. And the resulting parameters' values' values are shown to have less than 10 percent error for most solar cells.
Abstract: Analytical solutions for the rapid extraction of single- and double-diode model parameters from experimental data are described. The resulting parameters' values are shown to have less than 10 percent error for most solar cells. Error contours are also illustrated to define the range of validity of these methods.
531 citations
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TL;DR: The main contribution of this work is the simplification of the current equation, in which only four parameters are required, compared to six or more in the previously developed two-diode models.
Abstract: This paper proposes an improved modeling approach for the two-diode model of photovoltaic (PV) module. The main contribution of this work is the simplification of the current equation, in which only four parameters are required, compared to six or more in the previously developed two-diode models. Furthermore the values of the series and parallel resistances are computed using a simple and fast iterative method. To validate the accuracy of the proposed model, six PV modules of different types (multi-crystalline, mono-crystalline and thin-film) from various manufacturers are tested. The performance of the model is evaluated against the popular single diode models. It is found that the proposed model is superior when subjected to irradiance and temperature variations. In particular the model matches very accurately for all important points of the I–V curves, i.e. the peak power, short-circuit current and open circuit voltage. The modeling method is useful for PV power converter designers and circuit simulator developers who require simple, fast yet accurate model for the PV module.
507 citations
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