Evaluación del Estado en la Central Termogas Machala a través Machine Learning

Néstor Xavier Cruz; Carlos Iván Quinatoa; Jefferson Porras

Autores/as

Cruz Néstor Xavier Universidad Técnica de Cotopaxi. Latacunga, Ecuador.
Quinatoa Carlos Iván Universidad Técnica de Cotopaxi. Latacunga, Ecuador.
Porras Jefferson Universidad Técnica de Cotopaxi. Latacunga, Ecuador.

Palabras clave:

Central Termogas, Ciclo Combinado, Pyomo, Python, Optimización

Resumen

DOI: https://doi.org/10.46296/ig.v8i15.0259

Resumen

En este estudio se examinó la situación de la Central Termogas Machala. El desafío del proyecto consiste en superar grandes desafíos para asegurar la continuidad y asegurar un suministro eficaz de energía eléctrica, así como el uso eficiente de los recursos naturales y la reducción del impacto ambiental. La central termogas Machala opera en ciclo combinado, dispone de 8 unidades generadoras correspondientes a Machala I y Machala II, con una potencia total de 187 MW. Utilizando la programación en Python y la librería Pyomo para el proceso de optimización, se pudo examinar las variables de costos de combustible, potencia y energía eléctrica de la planta. La meta principal es reducir los costos de producción de energía eléctrica y las limitaciones están vinculadas a los costos de inicio, parada y el equilibrio de potencia. Además, para solucionar el problema se utiliza GNU Linear Programming Kit (GLPK), ya que el tipo de programación sugerido es entero lineal mixta. Mediante el análisis efectuado, se pudo determinar qué generadores térmicos pueden funcionar simultáneamente, elaborar planes de mantenimiento para la salida programada de estos generadores y determinar la energía total generada.

Palabras clave: Central Termogas, Ciclo Combinado, Pyomo, Python, Optimización.

Abstract

This study examined the situation of the Termogas Machala power plant. The challenge of the project is to overcome major challenges to ensure continuity and ensure an efficient supply of electricity, as well as the efficient use of natural resources and the reduction of environmental impact. The Machala thermal power plant operates in a combined cycle, has 8 generating units corresponding to Machala I and Machala II, with a total power of 187 MW. Using Python programming and the Pyomo library for the optimization process, it was possible to examine the variables of fuel, power and electric energy costs of the plant. The main goal is to reduce the electrical energy production costs, and the constraints are linked to the startup, shutdown and power balance costs. In addition, GNU Linear Programming Kit (GLPK) is used to solve the problem, since the type of programming suggested is mixed linear integer. Through the analysis carried out, it was possible to determine which thermal generators can operate simultaneously, to develop maintenance plans for the scheduled output of these generators and to determine the total energy generated.

Keywords: Combined cycle, Pyomo, Python, Optimization, Thermogas Plant.

Información del manuscrito:
Fecha de recepción: 14 de febrero de 2025.
Fecha de aceptación: 24 de abril de 2025.
Fecha de publicación: 10 de mayo de 2025.

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