Power Quality Enhancements with MC-UPQC Optimized with Hybrid Algorithm in IEEE33 and IEEE57 Bus System

Abstract

The implementation of MC-UPQC optimized with a hybrid algorithm in IEEE33 and IEEE57 bus systems has demonstrated significant improvements in power quality. This approach effectively mitigates issues such as voltage sags, swells, and harmonic distortions. Optimizing power quality in the IEEE 33 and IEEE 57 bus systems can lead to improved reliability and efficiency of the distributed system. By using nature-inspired hybrid algorithms, the accuracy of power quality optimization can be significantly enhanced, resulting in reduced power losses, minimized voltage fluctuations, and enhanced overall system performance.To decrease the installation cost for optimizing the power quality MC-UPQC proposed with better optimal technique. Cuckoo search algorithm taken as base concept of optimization to overcome the compensation time in selected two bus systems the algorithm hybridized with AI based random forest algorithm and named it as Multi agent Random Cuckoo forest search algorithm which given compensation time less than 0.3 seconds.