Performance Assessment of Solar Generating Units Based on Coot Bird Metaheuristic Optimizer

In this paper, a comprehensive methodology based on coot bird metahurestic optimizer called CBMO is presented aiming to demonstrate the performance of solar units under various operating and loading scenarios. The CBMO is capable to deal with different complicated behavior in both harmonized or disorderly phases and can define its major parameters with proofed indicators. It can convey from exploration state to exploitation state to realize a fast and better convergence without trapping in local minima. At first stage of this effort, the optimal values of uncertain parameters of well-known benchmarking PV units under study are cropped with compulsory validations and comparisons. It can be mentioned here both single- and double-diode models of such units are utilized, and their unknown parameters are emphasized. Then, a Simulink detailed model is built-up employing the obtained parameters with various types of connected loads such as static resistive load and dynamic DC motor to appraise the operating performance of such units. It is worth mentioning that the performance of solar units under varied sun radiations and cell temperatures are made along the presented work. To sum up, it can be empathized that the CBMO performs well, and its results are very competitive to those available in the literature.