A Multi-algorithm Approach to the Optimization of Thermal Power Plants Operation

• Gabriela T. Justino Radix Engineering and Software Development https://orcid.org/0000-0001-6154-3525
• Gabriela C. Freitas Radix Engineering and Software Development https://orcid.org/0000-0002-7365-0130
• Camilla B. Batista Radix Engineering and Software Development https://orcid.org/0009-0000-5363-4179
• Kleyton P. Cotta Radix Engineering and Software Development https://orcid.org/0000-0003-4332-5641
• Bruno Deon Radix Engineering and Software Development https://orcid.org/0009-0009-7181-6430
• Flávio L. Loução Jr. Radix Engineering and Software Development https://orcid.org/0009-0009-1615-3283
• Rodrigo J. S. de Almeida Paraíba Power Plants S.A. / EPASA https://orcid.org/0000-0003-4910-6597
• Carlos A. A. de Araújo Jr. Paraíba Power Plants S.A. / EPASA https://orcid.org/0000-0002-7211-4723

Resumo

A new multi-algorithm approach for the daily optimization of thermal power plants and the Economic Dispatch was tested. For this, the dispatches were clustered in different groups based on their duration and the total power output requested. Genetic Algorithm, Differential Evolution and Simulated Annealing were selected for implementation and were employed according to the distinct characteristics of each dispatch. A monthly improvement of up to 2,45 x 10⁵ R$ in the gross profit of the thermal power plant with the use of the optimization tool was estimated.