TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHM
The turbogenerator is one of the mean important parts of the thermal power station, which is the most famous used as a generation power plant since the serving of electricity till now. The turbogenerator unit behavior is a non-linear and complicated system, for this causation, the identification...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Arabic |
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Mustansiriyah University/College of Engineering
2016-11-01
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| Series: | Journal of Engineering and Sustainable Development |
| Subjects: | |
| Online Access: | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/695 |
| _version_ | 1811231285411053568 |
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| author | Sahar R. Alsakini Ahmed T. Alobaidi Ahmed J. Sultan |
| author_facet | Sahar R. Alsakini Ahmed T. Alobaidi Ahmed J. Sultan |
| author_sort | Sahar R. Alsakini |
| collection | DOAJ |
| description |
The turbogenerator is one of the mean important parts of the thermal power station, which is the most famous used as a generation power plant since the serving of electricity till now. The turbogenerator unit behavior is a non-linear and complicated system, for this causation, the identification models are used for the best and close optimization to have the highest and most accurate controller. In this paper, we will use the conjunction of data by intelligence techniques called "Genetic algorithm" to have the optimum behavior without using complex mathematical equations. The result we have from the genetic algorithm is showing the capability to reach the highest accuracy in system work identity, which are dependent on real data registered from no-load in the second unit of the Mussiab thermal power station.
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| first_indexed | 2024-04-12T10:42:02Z |
| format | Article |
| id | doaj.art-e9e98eaa0fa54a75bcb0d8c6c4534022 |
| institution | Directory Open Access Journal |
| issn | 2520-0917 2520-0925 |
| language | Arabic |
| last_indexed | 2024-04-12T10:42:02Z |
| publishDate | 2016-11-01 |
| publisher | Mustansiriyah University/College of Engineering |
| record_format | Article |
| series | Journal of Engineering and Sustainable Development |
| spelling | doaj.art-e9e98eaa0fa54a75bcb0d8c6c45340222022-12-22T03:36:34ZaraMustansiriyah University/College of EngineeringJournal of Engineering and Sustainable Development2520-09172520-09252016-11-01206TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHMSahar R. Alsakini0Ahmed T. Alobaidi1Ahmed J. Sultan2Electromechanical Engineering Department, University of Technology, Baghdad, IraqComputer Sciences Department, University of Technology, Baghdad, IraqCollege of Electrical and Electronic Techniques, Baghdad, Iraq The turbogenerator is one of the mean important parts of the thermal power station, which is the most famous used as a generation power plant since the serving of electricity till now. The turbogenerator unit behavior is a non-linear and complicated system, for this causation, the identification models are used for the best and close optimization to have the highest and most accurate controller. In this paper, we will use the conjunction of data by intelligence techniques called "Genetic algorithm" to have the optimum behavior without using complex mathematical equations. The result we have from the genetic algorithm is showing the capability to reach the highest accuracy in system work identity, which are dependent on real data registered from no-load in the second unit of the Mussiab thermal power station. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/695TurbogeneratorGenetic AlgorithmOptimization identificationChromosomeCrossover point |
| spellingShingle | Sahar R. Alsakini Ahmed T. Alobaidi Ahmed J. Sultan TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHM Journal of Engineering and Sustainable Development Turbogenerator Genetic Algorithm Optimization identification Chromosome Crossover point |
| title | TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHM |
| title_full | TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHM |
| title_fullStr | TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHM |
| title_full_unstemmed | TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHM |
| title_short | TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHM |
| title_sort | turbo generator system identification using genetic algorithm |
| topic | Turbogenerator Genetic Algorithm Optimization identification Chromosome Crossover point |
| url | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/695 |
| work_keys_str_mv | AT saharralsakini turbogeneratorsystemidentificationusinggeneticalgorithm AT ahmedtalobaidi turbogeneratorsystemidentificationusinggeneticalgorithm AT ahmedjsultan turbogeneratorsystemidentificationusinggeneticalgorithm |