OPTIMIZATION OF ENERGY SYSTEMS THROUGH THE APPLICATION OF BOOLEAN DIFFERENTIAL OPERATORS

This paper presents an innovative method for controlling hybrid energy systems using a combination of Boolean differential analysis and adaptive fuzzy logic. This paper presents Boolean differential analysis and adaptive fuzzy control approaches for optimizing smart hybrid energy systems (Solar panels, energy storage system, and digital load management). In the first phase, the system's structural analysis and identification of critical variables are carried out using Boolean functions and derivatives. In the next phase, uncertainty modeling is performed using the fuzzy mapping method, and fuzzy control rules are formulated. Finally, an adaptive fuzzy control system is introduced that dynamically adapts to real-world conditions. Simulation results show that the adaptive fuzzy system improves energy efficiency, extends battery life, and provides high stability in dynamic loads, ensuring reliable energy supply.