Optimal Placement of UPQC for the Enhancement of Power Quality with a Novel Hybrid Meta-Heuristic Optimisation Approach

Abstract

This research paper presents Flexible Alternating Current Transmission System (FACTS) devices, specifically Unified Power Quality Conditioner (UPQC), are implemented to significantly enhance power system stability. Various meta-heuristic optimisation algorithms are applied to position the Unified Power Quality Conditioner (UPQC) within power systems. However, the optimisation algorithms failed to demonstrate increased reliability and the feedback signal. This work presents a technique for improving Power Quality, utilizing a hybrid approach that integrates Improved Grey Wolf Optimisation (IGWO) with the Opposition Based Learning (OBL). The developed hybrid optimisation technique identifies the optimal positioning of the UPQC device, emphasizing the cost associated with the UPQC, the Voltage Stability Index (VSI), and Total power losses. The implemented technique is executed within the IEEE 33 and IEEE 57 test bus system. The performance of the hybrid optimisation technique is compared to existing techniques, including Cuckoo Search Optimisation (CSO), Grey Wolf Optimisation (GWO), Improved Grey Wolf Optimisation (IGWO.