A Six Parameter Single Diode Model for Photovoltaic Modules

Abstract

The modeling of photovoltaic (PV) systems is substantial for the estimation of energy production and efficiency analysis in the PV systems under the changing environmental conditions. A PV model mathematically expresses the electrical characteristic of the PV modules according to temperature and irradiance. The most popular electrical circuit models are the single-diode model (SDM) and the double-diode model (DDM). Considering accuracy and complexity, SDM was used in this paper. In the equivalent circuit model used to estimate the electrical behavior of the PV modules, the parameter estimating has become an optimization problem. In recent studies, it is seen that metaheuristic algorithms are often employed in solving this optimization problem. In this paper, a new six-parameter PV model is proposed to improve the accuracy of the five-parameter SDM, taking into account the temperature dependence of the series resistance. Particle swarm optimization (PSO) and a couple of metaheuristic algorithms has been executed to estimate six unknown parameters of the proposed model under standard test conditions (STC: 25 °C, 1000 W/m2, AM1.5) using current-voltage (I-V) data provided by the PV module manufacturers. In order to evaluate the performance of the proposed method under the changing environmental conditions, it was compared with the three methods commonly used in the literature. Accuracy of the proposed model has been indicated by the root-mean-square error (RMSE) within the range of current data and the model current values. Simulation results demonstrate that the proposed model can predict the I-V curve for the PV modules with high accuracy.

Detection, Characterization and Modeling of Localized Defects and Thermal Breakdown in Photovoltaic Panels from Thermal Images and IV Curves

“…The panels are modeled using the standard models for cell characterization. Some articles describe the characterization of this kind of panel by the cell's one or two-diode circuit models [4,[11][12][13], shown in Figures 1 and 2, with several methods for the parameter extraction [14][15][16]. The current that can be extracted from the cell (I CELL ) will be equal to the current photogenerated in the cell (I PH ) minus the darkness or recombination current (I DARK ).…”

An Improved Artificial Jellyfish Search Optimizer for Parameter Identification of Photovoltaic Models

“…Recently, renewable energy sources (RESs) such as solar, wave, wind, and biomass play a vital role in addressing the cost, environmental pollution, global warming impact, and shortage of fossil fuels [1][2][3]. Among the RESs, solar energy has great potential to replace fossil fuels due to its ready availability and cleanliness [4].…”