Economic Load Dispatch using the TLBO Algorithm

Khairul Eahsun Fahim, Tasnova Tabassum, Rakibul Islam, Maria Rahman, Khondaker Labib Al Jonayed, Fahim Faiyaz

2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)(2024)

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摘要
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.
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关键词
load dispatch,power system optimization,ELD,CEED,TLBO,evolutionary algorithm
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