This paper describes the development of a Photovoltaic (PV) technology system optimized using Pollination-Based Optimization (PBO) for enterprise-particular programs that specialize in vital method control in sectors including chemical production, semiconductor manufacturing, and pharmaceutical production. The PBO algorithm effectively reduces Total Harmonic Distortion (THD) by producing control signals for a Programmable Logic Controller (PLC) that manages motor operations and cargo control. The PV station, which includes 8 modules with a total potential of 4KW, operates in parallel with a grid imparting 5KW strength. A seamless transition to grid electricity is ensured in the event of PV failure. Comparative analyses of the PBO technique in opposition to Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Fuzzy Logic, and traditional Proportional-Integral-Derivative (PID) controllers reveal that the PBO approach extensively outperforms the others in terms of THD discount (1.0%), device efficiency (95.5%), and response time (.2 seconds). The effects spotlight the potential of PBO to beautify the reliability and performance of PV technology systems, making it a feasible answer for business programs requiring particular electricity management.