Microgrids increasingly integrate renewable energy sources. They lower the systems’ operating costs and their reliance on fossil fuels. However, due to the intermittent nature of these sources, they face challenges such as voltage fluctuations, frequency variations, and harmonics, which compromise electricity quality and reliability. To address these issues custom power devices, a unified power quality conditioner is more reliable than other custom power devices due to its multifunctionality and common use of an energy storage system. However, the main constraint is maximum utilization and installation cost. The novel algorithm suggested in this study is to be used to determine the ideal volt-ampere values for both converters of UPQC. For the most efficient usage of the UPQC converters, the relevant displacement angle was modified to vary the online VA loading. In order to implement the suggested artificial electric field algorithm, Newton’s law of motion and Coulomb’s equation of electrostatic force inspired an algorithm that is employed, along with the feature of accelerated learning capability. Its performance is then compared with that of the genetic algorithm-based phase angle control method.