An Innovative Method of Non-Dominated Sorting TLBO for Multi-Objective Short-Term Generation Scheduling of an Integrated Hydro-Thermal Wind Solar System

Through the use of solar and wind energy systems, this study offers a novel approach to the Short-Term Hydrothermal Generation Scheduling (STHTGS) problem. Reducing thermal units total fuel cost is the goal of integrating renewable sources. In order to tackle the STHTGS problem, the Non-Dominated Sorting Teaching Learning Based Optimization method (NSTLBO) is suggested. A conventional test system comprising Four Hydro, Three Thermal, And an Equivalent Wind-Solar unit all of which are subject to different constraints is used to assess the suggested methodology. Our strategy is effective in obtaining optimal solutions for the STHTGS problem, as evidence by a comparison of the simulation results with those of other approaches.