Dynamic Economic Emission Dispatch for IEEE 118 bus system

Versión 1.0.0 (8,79 KB) por Arunachalam Sundaram
Multiobjective multi-verse optimization algorithm to solve dynamic economic emission dispatch problem
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Actualizado 24 jul 2024

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This MATLAB code implements a novel approach to solve the Dynamic Economic Emission Dispatch (DEED) problem without considering the transmission losses for IEEE118 bus system. Integrating a Multiobjective Multi-Verse Optimization (MOMVO) algorithm inspired by the multiverse theory, the method simultaneously optimizes both economic and emission objectives in a dynamic environment. The comprehensive MATLAB implementation includes data preparation, MOMVO algorithm execution, and result visualization. Suitable for MATLAB R2020b or later. Researchers and engineers can utilize this robust solution for balancing economic and environmental objectives in dynamic power system optimization by running the main file IEEE118busa.m

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1.Arunachalam Sundaram, Multiobjective multi verse optimization algorithm to solve dynamic economic emission dispatch problem with transmission loss prediction by an artificial neural network, Applied Soft Computing, Volume 124, 2022, 109021, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2022.109021. (https://www.sciencedirect.com/science/article/pii/S1568494622003349) 2. Sundaram, A.; Alkhaldi, N.S. Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model. Energies 2024, 17, 860. https://doi.org/10.3390/en17040860

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Se creó con R2020b
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Versión Publicado Notas de la versión
1.0.0