Snake Optimization Based Optimal Power Flow

Optimal power flow (OPF) is an advanced method of calculating power flow that involves constraints in the calculation process.OPF is an important tool in planning and operating a power system.Snake Optimization (SO), a metaheuristic optimization method that mimics the natural behavior of snakes in finding prey, surviving, and reproducing, was introduced in 2022.Despite its widespread use in various application fields, OPF calculations have never incorporated this method before.This paper proposes SO-based OPF and assets it on IEEE 30 buses, 41 lines, and 6 generators under five distinct scenarios, and compares it with Devolved PSO (DPSO), Bird Swarm Algorithm (BSA), Jaya, Hybrid Jaya BSA (HJBSA), Aquila Optimizer-Arithmetic Optimization (AO_AOA), and Teaching Learning Based Optimization (TLBO) methods.The SO-based OPF method demonstrates its superiority throughout the simulations by offering better results in retrenching fuel costs, lowering the maximum voltage stability index (Lindex), minimizing power losses, and reducing emissions to 784.9200 $/h, 0.0856, 2.7671 MW, and 1126 ton/h, respectively, while lessening the voltage deviation to 0.4088 p.u.Hence, the SO method contributes a new and excellent solution for solving OPF problems.