Fast Convergence Real-Coded Genetic Algorithm for Short-Term Solar-Wind-Hydro-Thermal Generation Scheduling

This article develops and recommends fast convergence real-coded genetic algorithm (FCRCGA) for solving solar-wind-hydro-thermal power generation scheduling with battery energy storage system (BESS). Genetic algorithm (GA) is based on inbred operation of human chromosomes. GA has the ability to establish the global or very close to the global optima. In this article, FCRCGA has been suggested to heighten convergence speed and solution quality. The efficacy of the suggested technique has been confirmed on two test systems and 15 benchmark functions. Simulation outcomes of the suggested technique have been matched up to those acquired by real-coded genetic algorithm (RCGA) technique. It has been observed from the comparison that the suggested FCRCGA technique has the ability to endow with superior solution.