A Comprehensive Analysis for Extracting Single Diode PV Model Parameters by Hybrid GA-PSO Algorithm

Abstract

This paper proposes an improved model approach to single diode PV model by Hybrid Genetic Algorithm Particle Swarm Optimization (Hybrid GA-PSO) technique. The main objective is to extract accurate parameters of PV model for the simulator developers which could help them to develop an enhanced PV model in Matlab/Simulink environment. Specifications provided by the manufacturer's data sheet of PV module have been used for the computation of model parameters. Hybrid approach of GA and PSO is purposely chosen to utilize their effectiveness in these kinds of applications. This method is used to optimize the parameters Ipv, a, Rse and Rsh with their best optimal values. For the confirmation of accuracy and computational time of the proposed method, poly-crystalline PV module (KL070) has been selected and the best optimal value of each parameter has been obtained using Hybrid GA-PSO. Finally, the extracted values have been used in the single diode PV model and tested for various irradiations and temperatures. The proposed methodology results in marked improvement and can be a tool for simulator developers who require absolute and accurate model.

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

“…Then, the PV parameters have been calculated from these experimental data using a least square method in the PV parameters extraction algorithm. The results confirm that the diode reverse saturation current effectively depends on the temperature and the mathematical expression obtained in the literature has been validated [6][7][8][9]. The diode ideality factor, , changes less with the weather conditions.…”

“…(ii) A one diode model (ODM) which is simple and represents precisely the operation of a monocrystalline solar cell [5][6][7][8][9][10][11][12][13]. This model which is used in this work is presented in Figure 1 with , a diode which represents the -junction; and are the series and shunt resistances.…”

“…Due to the fact that is higher than ( ≫ ) and its influence on the performance of the PV cell is insignificant [5][6][7][8][9][10][11][12][13], (1) becomes Equation (2) is a nonlinear expression of pv because it expresses pv in function of pv and pv . In order to obtain a linear expression of pv , the Lambert function can be used.…”

“…But the other parameters have not been in the center of a particular study for a mathematical model. Nevertheless, these parameters and the diode reverse saturation current have been determined by some authors [3][4][5][6][7][8]. These authors measured the -characteristic of a PV module using a solar simulator instead of the normal operating conditions.…”

Extraction of Solar Cell Modelling Parameters Using Differential Evolution Algorithm

“…Therefore, in the later approaches, the use of evolutionary algorithms (EA) which uses artificial intelligence techniques for extraction of solar cell parameter has received considerable attention recently, such as genetic algorithms (GAs) [18,19], particle swarm optimization (PSO) [20,21,22], simulated annealing (SA) [23,24], artificial bee swarm colony (ABC) [25,26], Cuckoo search [27,28] and so on. The evolutionary algorithms are population based global optimization algorithm which can be very effective regardless of gradient and initial condition information.…”