Investigation and Minimization of Power Loss in Radial Distribution Network Using Gray Wolf Optimization

This paper describes a computational procedure to establish the optimal distribution of network reconfiguration by means of a novel gray wolf optimization (GWO) algorithm. The procedure aimed to diminish the system's power loss and produce a better voltage profile while fulfilling the operating constraints described by different operating conditions. Under practical restrictions, the distribution network reconfiguration (DNR) problem is classified as multimodal and highly nonlinear. Constraint breaches were appropriately handled to produce stable convergence characteristics, and high-quality solutions were obtained in a shorter execution time. The 33-bus and 69-bus systems were used to obtain the optimal reconfiguration by incorporating the method developed in this work. The simulation results obtained were collated and compared with the outcomes of other well-known optimization techniques, confirming the efficacy of the GWO algorithm in solving the DNR problem.

Automated summary

This paper presents a computational procedure utilizing a novel gray wolf optimization algorithm to determine the optimal distribution of network reconfiguration. The aim is to minimize system power loss, improve the voltage profile, and meet operating constraints under different conditions. The proposed method effectively handles constraint breaches and obtains high-quality solutions in a shorter time. Experimental results using the 33-bus and 69-bus systems demonstrate the efficacy of the GWO algorithm compared to other popular optimization techniques for solving distribution network reconfiguration problems.