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

Néstor Xavier Cruz; Carlos Iván Quinatoa; Jefferson Porras

Authors

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.

Keywords:

Combined cycle, Pyomo, Python, Optimization, Thermogas Plant

Abstract

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

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.

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