Intelligent monitoring and controlling of the PV using hybrid controller system

The capacity control of integrated technology systems by themselves now becomes an interesting area of research. The proposed management system for managing power transitions between the hybrid energy network and the power storage modules, which use the modified whale-based PID and fuzzy logic control systems, is configured to meet load requirements. A maximum power point (MPP) is obtained by using the optimizing the Iterative cuckoo optimization. The integrated controller is designed to move power from the hybrid system to the loading and release flows to optimize performance. To determine the efficiency of the management system, a hybrid system was developed, including the PV column, wind turbines, and proton exchange membrane fuel cell (PEMFC). A hybrid controller controls the stack temperature to improve the performance of hybrid power generation and boost its longevity. Throughout different organizational conditions, the complex actions of the theoretical model are observed. Real-time calculated parameters are used as inputs for the built method. The proposed model and its control strategy provide an effective method to improve the hybrid system efficiency of many intelligent applications.