Ant Lion Optimization and Grey Wolf Optimizer to Optimally Locate Single and Multiple Distributed Generation Units and Capacitor Shunts in Power Distribution Networks

Power supply challenges continue to be a significant issue, necessitating ongoing efforts to enhance power generation, network infrastructure, and system configurations. Notably, the integration of distributed generation (DG) units and capacitor shunts (CSs) has emerged as a key advancement. With the escalating complexity and scale of power systems, optimizing these components to maximize benefits and mitigate drawbacks has become essential. Consequently, optimization has become a crucial element in the development of algorithms. This study proposes the utilization of the Grey Wolf Optimizer (GWO) and Ant Lion Optimization (ALO) methods for determining the optimal sizing of capacitor shunts and distributed generation units within distribution systems. The Reconfiguration Method (RM) is employed to identify the optimal location for single-generation units and capacitor shunts, while the Loss Sensitivity Factor (LSF) is utilized to determine the optimal placement for multiple DG units and CSs. The primary objective is to minimize real power losses across the entire system by selecting the optimal sizes with GWO and ALO, while also optimizing their placement using LSF and RM. The performance of the proposed algorithms, GWO and ALO, was evaluated using the IEEE 33-bus power system. Four distinct scenarios were employed to demonstrate the superiority and effectiveness of these optimization methods. © 2025 ESI SB RAS and authors. All rights reserved.