An Effective Approach for Extracting the Parameters of Solar PV Models Using the Chaotic War Strategy Optimization Algorithm With Modified Newton Rapson Method

One of the most popular renewable energy sources is solar photovoltaic, so it is essential to comprehend the PV model and model it accurately. Many parameters need to be extracted from the photovoltaic to assess the performance of the PV cell. Extracting the unknown parameters from the PV cell is significantly important for the analysis of the fault diagnosis, Maximum power point tracking (MPPT), control, and efficiency of the photo-voltaic system. The unknown parameters are (Photo current, series and shunt resistances, diode ideality factor, reverse saturation current). This algorithm is applied to PV cell (R.T.C France Si.) at the standard (STC) conditions utilizing the Three Diode Model, and applied to different PV modules like PWP201, SM55 at different temperatures and irradiances. This paper presents the Chaotic War Strategy Optimization (CWSO) algorithm to further reduce the error between measured and calculated values. The primary benefit of the proposed approach is its utilization of chaotic maps to calculate and dynamically adjust the internal parameters of the optimization algorithm. The extracted parameters and RMSE are compared to those of other cutting-edge algorithms to discover the most effective one for the parameter estimation issue to assess this algorithm's efficacy.