Parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms.
This paper presents a technique based on Genetic Algorithms for the parameter estimation and validation of the power transformers top oil temperature model proposed by Lesieutre [1]. For such aim, data are used in on-line diagnosis and monitoring systems, installed in a 100 MVA 230/115/24 kV OA/FA...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad del Zulia
2010-10-01
|
| Series: | Revista Técnica de la Facultad de Ingeniería |
| Subjects: | |
| Online Access: | https://www.produccioncientificaluz.org/index.php/tecnica/article/view/6684 |
| _version_ | 1811178807779917824 |
|---|---|
| author | Rómulo Pérez Enrique Matos Alfonso Sergio Fernández |
| author_facet | Rómulo Pérez Enrique Matos Alfonso Sergio Fernández |
| author_sort | Rómulo Pérez |
| collection | DOAJ |
| description | This paper presents a technique based on Genetic Algorithms for the parameter estimation and validation of the power transformers top oil temperature model proposed by Lesieutre [1]. For such aim, data are used in on-line diagnosis and monitoring systems, installed in a 100 MVA 230/115/24 kV OA/FA/FOA transformer of Barquisimeto Substation at ENELBAR, Venezuela since the year 2003. The objective of this work is to compare mistake reduction between the model and the top oil temperature measurement when their parameters estimation is considered by genetic algorithms and least-squares. The parameters estimation by genetic algorithms evidence better results of the model, which improves its performance as a power transformer diagnosis tool.
Â
|
| first_indexed | 2024-04-11T06:24:11Z |
| format | Article |
| id | doaj.art-812dd4dbc6454d88bc3b21c2b7b8f438 |
| institution | Directory Open Access Journal |
| issn | 0254-0770 2477-9377 |
| language | English |
| last_indexed | 2024-04-11T06:24:11Z |
| publishDate | 2010-10-01 |
| publisher | Universidad del Zulia |
| record_format | Article |
| series | Revista Técnica de la Facultad de Ingeniería |
| spelling | doaj.art-812dd4dbc6454d88bc3b21c2b7b8f4382022-12-22T04:40:26ZengUniversidad del ZuliaRevista Técnica de la Facultad de Ingeniería0254-07702477-93772010-10-01323Parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms.Rómulo Pérez0Enrique Matos Alfonso1Sergio Fernández2Universidad Nacional Experimental Politécnica "Antonio José de Sucre" UNEXPO-VenezuelaUniversidad de Cienfuegos "Carlos Rafael Rodríguez"-CubaInstituto Superior Politécnico "José Antonio Echeverría"-Cuba This paper presents a technique based on Genetic Algorithms for the parameter estimation and validation of the power transformers top oil temperature model proposed by Lesieutre [1]. For such aim, data are used in on-line diagnosis and monitoring systems, installed in a 100 MVA 230/115/24 kV OA/FA/FOA transformer of Barquisimeto Substation at ENELBAR, Venezuela since the year 2003. The objective of this work is to compare mistake reduction between the model and the top oil temperature measurement when their parameters estimation is considered by genetic algorithms and least-squares. The parameters estimation by genetic algorithms evidence better results of the model, which improves its performance as a power transformer diagnosis tool. Â https://www.produccioncientificaluz.org/index.php/tecnica/article/view/6684genetic algorithmsparameter estimationpower transformer |
| spellingShingle | Rómulo Pérez Enrique Matos Alfonso Sergio Fernández Parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms. Revista Técnica de la Facultad de Ingeniería genetic algorithms parameter estimation power transformer |
| title | Parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms. |
| title_full | Parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms. |
| title_fullStr | Parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms. |
| title_full_unstemmed | Parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms. |
| title_short | Parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms. |
| title_sort | parameter estimation and validation of power transformers top oil temperature model by applying genetic algorithms |
| topic | genetic algorithms parameter estimation power transformer |
| url | https://www.produccioncientificaluz.org/index.php/tecnica/article/view/6684 |
| work_keys_str_mv | AT romuloperez parameterestimationandvalidationofpowertransformerstopoiltemperaturemodelbyapplyinggeneticalgorithms AT enriquematosalfonso parameterestimationandvalidationofpowertransformerstopoiltemperaturemodelbyapplyinggeneticalgorithms AT sergiofernandez parameterestimationandvalidationofpowertransformerstopoiltemperaturemodelbyapplyinggeneticalgorithms |