Maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid technique
This paper presents a hybrid technique for solving the generation maintenance scheduling coordinated with middle term hydrothermal dispatch based on the Chu-Beasley genetic algorithm and linear programming. It takes into consideration the non-linearity derived from the cost of the fuel for thermal...
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Format: | Article |
Language: | English |
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Universidad de Antioquia
2017-12-01
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Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
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Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/324266 |
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author | María Victoria Ramírez-Martínez Ana Milena Martínez-Sánchez Antonio Hernando Escobar-Zuluaga Frederico Gadelha Gimarães |
author_facet | María Victoria Ramírez-Martínez Ana Milena Martínez-Sánchez Antonio Hernando Escobar-Zuluaga Frederico Gadelha Gimarães |
author_sort | María Victoria Ramírez-Martínez |
collection | DOAJ |
description |
This paper presents a hybrid technique for solving the generation maintenance scheduling coordinated with middle term hydrothermal dispatch based on the Chu-Beasley genetic algorithm and linear programming. It takes into consideration the non-linearity derived from the cost of the fuel for thermal power plants. The output of the genetic algorithm is a proposal for the start week of the generation maintenance plan that minimises the hydrothermal dispatch cost. This work has two main contributions: on one hand proposing a solution that integrates hydrothermal dispatch and maintenance scheduling in a single model, therefore a new mathematical model and, on the other hand the proposed solution applies a specialised genetic algorithm that has not been applied before to solve this problem. The test system to validate the methodology is composed of three hydro plants and two thermal plants split into 22 generation units, considering three types of preventive maintenance, in a planning term of one year (52 weeks). This methodology combines an exact technique and a specialised genetic algorithm, which favours convergence.
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first_indexed | 2024-03-12T22:59:53Z |
format | Article |
id | doaj.art-80f4deb180af47b99150f452954a8fa7 |
institution | Directory Open Access Journal |
issn | 0120-6230 2422-2844 |
language | English |
last_indexed | 2024-03-12T22:59:53Z |
publishDate | 2017-12-01 |
publisher | Universidad de Antioquia |
record_format | Article |
series | Revista Facultad de Ingeniería Universidad de Antioquia |
spelling | doaj.art-80f4deb180af47b99150f452954a8fa72023-07-19T12:29:35ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442017-12-0185Maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid techniqueMaría Victoria Ramírez-Martínez0Ana Milena Martínez-Sánchez1Antonio Hernando Escobar-Zuluaga2Frederico Gadelha Gimarães3Technological University of PereiraTechnological University of PereiraTechnological University of PereiraFederal University of Minas Gerais This paper presents a hybrid technique for solving the generation maintenance scheduling coordinated with middle term hydrothermal dispatch based on the Chu-Beasley genetic algorithm and linear programming. It takes into consideration the non-linearity derived from the cost of the fuel for thermal power plants. The output of the genetic algorithm is a proposal for the start week of the generation maintenance plan that minimises the hydrothermal dispatch cost. This work has two main contributions: on one hand proposing a solution that integrates hydrothermal dispatch and maintenance scheduling in a single model, therefore a new mathematical model and, on the other hand the proposed solution applies a specialised genetic algorithm that has not been applied before to solve this problem. The test system to validate the methodology is composed of three hydro plants and two thermal plants split into 22 generation units, considering three types of preventive maintenance, in a planning term of one year (52 weeks). This methodology combines an exact technique and a specialised genetic algorithm, which favours convergence. https://revistas.udea.edu.co/index.php/ingenieria/article/view/324266hydrothermal dispatchmaintenance schedulinggenetic algorithm linear programminghybrid algorithm |
spellingShingle | María Victoria Ramírez-Martínez Ana Milena Martínez-Sánchez Antonio Hernando Escobar-Zuluaga Frederico Gadelha Gimarães Maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid technique Revista Facultad de Ingeniería Universidad de Antioquia hydrothermal dispatch maintenance scheduling genetic algorithm linear programming hybrid algorithm |
title | Maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid technique |
title_full | Maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid technique |
title_fullStr | Maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid technique |
title_full_unstemmed | Maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid technique |
title_short | Maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid technique |
title_sort | maintenance of generation units coordinated with annual hydrothermal scheduling using a hybrid technique |
topic | hydrothermal dispatch maintenance scheduling genetic algorithm linear programming hybrid algorithm |
url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/324266 |
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