Currently, Flexible Alternating Current Transmission System (FACTS) devices, particularly UPQC are established to encompass important impacts on rising power system stability. Numerous intellectual optimization algorithms were used to positioning the Unified Power Quality Conditioner (UPQC) in the power systems. Nevertheless, those optimization algorithms did not succeed to present more reliability and the feedback signal. Therefore, this work proposes a Power Quality enhancement technique that is based on a hybrid approach that connects Grey Wolf Optimization (GWO) and Cuckoo Search Algorithm (CSA). Also, the developed technique discovers the optimal position of UPQC device which focuses on the cost of UPQC, Voltage Stability Index (VSI) and power losses. The developed technique is performed in IEEE 33 and 69, test bus systems. Moreover, developed technique performance is illustrious over other exiting techniques namely GWO, Whale Optimization Algorithm (WOA), Artificial Bee Colony (ABC), Worst Solution linked WOA update (WS-WU), WS-WU, Genetic Algorithm (GA), Dragonfly (DA) and Firefly (FF). The developed technique performance is efficiently shown by its performance and convergence analysis.