Optimization of Economic and Environmental Dispatch Using Bio-inspired Computer Metaheuristics
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Instituto de Tecnologia e Educação Galileo da Amazônia
Abstract
This chapter addresses the optimization of economic and environmental dispatch in electric power systems using bio-inspired computational metaheuristics. Techniques such as Genetic Algorithms, Particle Swarm Optimization, and Ant Colony-Based Algorithms are analyzed. The study demonstrates how these approaches can reduce operational costs and minimize environmental impacts, ensuring energy efficiency and sustainability.
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Otimização Computacional, Despacho Econômico, Sustentabilidade Energética, Algoritmos Bioinspirados, Inteligência Artificial
Citation
NASCIMENTO, M. H. R.; LEITE, J. C.; LIMA, A. A.; OLIVEIRA, E. F.; SILVA, I. R. S.; PARENTE, R. S.; RODRÍGUEZ, J. L. M.; SIQUEIRA JUNIOR, P. O. Optimization of Economic and Environmental Dispatch Using Bio-inspired Computer Metaheuristics. In: ZOBAA, A. F.; ABDEL ALEEM, S. H. E. (eds.). Modernization of Electric Power Systems: Energy Efficiency and Power Quality. Springer, 2023. DOI: 10.1007/978-3-031-18996-8.