Fahim K.E.Tabassum T.Islam, RakibulRahman, MariaJonayed, Khondaker Labib AlFaiyaz, Fahim2026-08-302026-08-302024-01-01K. E. Fahim, T. Tabassum, R. Islam, M. Rahman, K. L. A. Jonayed and F. Faiyaz, "Economic Load Dispatch using the TLBO Algorithm," 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh, 2024, pp. 1-6, doi: 10.1109/iCACCESS61735.2024.10499528.97983503502892-s2.0-85191958290https://hdl.handle.net/10361/29625The 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.6 Pagesen-USOptimization algorithmsSoftware algorithmsProductionValvesLoad dispatchPower system optimizationElectric utilitiesPower resourcesEvolutionary algorithmElectric power production--Costs.Electric power systems--Load dispatching.Conference Proceeding10.1109/iCACCESS61735.2024.10499528