Self-organizing Migrating Algorithm (SOMA) for Pumped-Storage Hydrothermal System Scheduling

This paper presents the results of one power system working over one day by running three algorithms, including Dragonfly algorithm (DA), Salp Swarm Algorithm (SSA) and the self-organizing migrating algorithm (SOMA). The power system is optimally operated by determining status Pump and status Generation together with the power outputs as the status Generation is selected. The cost of one thermal power plant is used as an objective function to evaluate the three applied algorithms. On the other hand, almost all constraints are from one pumped-storage hydro plant, and valid solutions must satisfy these considered constraints. As a result, SOMA is the best method with the lowest cost and the best stability. So, SOMA is an effective method, and pumped-storage hydro plant is very useful for generation.