In order to satisfy demand and minimize losses, the grid is rapidly encouraging the integration of renewable energy sources like wind and solar power. However, power quality problems are frequently caused by this integration in addition to power electronic devices and non-linear loads. This work addresses this issue by introducing a novel method that uses Boost and Buck-Boost converters to create an optimal tuned hybrid controller for the Unified Power Quality Conditioner (UPQC) that is based on a soccer league algorithm and integrated with solar power and battery storage systems. The UPQC is an active power filter that can be used as a series or shunt filter. The suggested controller combines the advantages of proportional-integral controllers tuned by the SOL method with ANN-based controllers. This methodology treats the Kp and Ki values of shunt and series controllers as control variables, optimized by the SOL algorithm to satisfy predetermined objectives, in contrast to prior methods that use fuzzy controllers. Important contributions include lowering the overall harmonics in current waveforms, improving power factor, preventing voltage sag, swell, and disturbances, preserving constant DC-Link capacitor voltage during variations in solar irradiation, and correcting for unbalanced loads and networks. The efficacy of the Soccer-League Optimization Hybrid Controller (SLOHC) is demonstrated by performance evaluation conducted through four test studies on various load and supply voltage combinations. Superior performance is revealed by comparison with conventional techniques including proportional-integral controllers, biogeography-based optimization, and evolutionary algorithms. This is especially true when compared to approaches found in the literature, as it reduces total harmonic distortion. MATLAB/Simulink software is used for the design and evaluation, demonstrating the usefulness of the suggested strategy in improving power quality in integrated solar-battery systems.