Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer

This paper employs the Rung-Kutta optimizer (RKO) to investigate and analyze dynamic performance of PV units represented using three-diode model (TDM). The can be categorized into three phases; In phase one, efforts are exerted adapt proposed RKO for extracting optimal unknown parameters TDM two widely used namely PWP201/36 STM6-40/36 modules. second phase, comprehensive comparisons between different recent well-known challenging optimizers such as interior search algorithm, heap-based optimizer, artificial ecosystem-based particle swarm many more versus indicate its effectiveness viability. It confirmed after fair investigations that generates lowest value root mean square errors (i.e. 2.050683 mA 1.712171 modules, respectively) addition that, other one-, two- models SDM, DDM TDM) made. Lastly, cropped module create a full Simulink when it is loaded by switched reluctance motor study this representative case under varied loading scenarios. Many in regards SRM behavior unit traced expansively discussed. stated investigated results apparently viability improving suggests tackle engineering optimization problems.