Estimation of Solar PV Models Parameters using WDO Algorithm

Abstract

The interest in the generation of solar photovoltaic (PV) power increased worldwide because of climate change and fossil fuel depletion. A detailed simulation of the system with different environmental conditions is important to improve the performance of the solar PV system. Since solar PV has nonlinear characteristics, the optimization technique is the most suitable method to define the solar PV model parameters. The study states a modern approach for the detection of Solar PV parameters through Wind Driven Optimization (WDO). Three data sets are used to check that the process is reliable, timely and dynamic. The first set is the experimental data for Kyocera -KC200GT, while the second set is the experimental data for RTC France and Photo watt -PWP201. The third set is the data provided by the manufacturers in the data sheets. Solar PV models are measured with single diode and double diode parameters. In order to verify the suggested optimization methods, the findings obtained by means of the WDO optimization method are compared with the results reported in recent literature. So, this proposal for the calculation of solar PV parameters is the best optimization algorithm