Modeling Single Diode PV using Particle Swarm Optimization (PSO ) Techniques

Year 2022, Volume: 11 Issue: 1, 44 - 56, 11.05.2022

Alkhansa Osman Mohammed Abdalla , Abeer Abdalla Zakaria Ibrahim Saber Mohammed Elnour Fadul

Abstract

The photovoltaic (PV) systems have grown in popularity in recent decades as one of the most cost-effective renewable energy resources that convert solar energy to electric energy. A reliable and accurate PV system model design is required to estimate the performance of a PV system before it is deployed. The proposed model is based on the single diode model (SDM), which gives a comprehensive simulation of the influence of irradiance and temperature on PV module parameters following the characteristics I-V or P-V requires of five parameters. The particle swarm optimization (PSO) technique to characterize the equivalent accurate PV module is used to extract model parameters by finding the optimum solution. The approach of parameter estimation and evaluation and model assessment in Matlab. The simulation results show that the proposed technique works well for modeling both the solar cell and the module.

Keywords

Solar cell, PV, Single diode, Parameter estimation, PSO

Modeling Single Diode PV using Particle Swarm Optimization (PSO ) Techniques

Abstract

References

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