Economic load dispatch using the TLBO algorithm

Abstract

The Teaching-Learning-Based Optimization (TLBO) algorithm is suggested in this paper as a potential solution to the economic load dispatch (ELD) problem in power systems. ELD, a fundamental issue in power systems, tries to schedule generator power production in a way that satisfies load demand while reducing operating costs. The teaching and learning processes in a classroom served as the inspiration for TLBO, a relatively recent optimization algorithm that has demonstrated promising results in handling challenging optimization issues. The suggested approach is evaluated using a variety of power systems with various characteristics, and the outcomes are contrasted with those of other cutting-edge optimization algorithms. The contribution of this paper lies in assessing the suitability of this algorithm for solving real-world economic load dispatch problems and contrasting it with industry-standard software simulation results, such as the Power World Simulator.