Titulo:
SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS
.
Sumario:
This paper presents a methodology for solving the static planning problem in electrical energy transmission networks considering demand uncertainty and conductor selection for the transmission lines that belong to new paths. The optimization problem is solved using a specialized genetic algorithm which uses the logic of the genetic algorithm proposed by Chu and Beasley, combined with exact optimization. The testing bench chosen for the proposed methodology was the Colombian power system of 93 nodes and 155 candidate lines. The results obtained improve the static planning solution for the Colombian power system.
Guardado en:
1794-1237
2463-0950
11
2014-10-17
99
112
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
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metarevistapublica_eia_revistaeia_englishversion_8_article_925 |
|---|---|
| record_format |
ojs |
| spelling |
SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS This paper presents a methodology for solving the static planning problem in electrical energy transmission networks considering demand uncertainty and conductor selection for the transmission lines that belong to new paths. The optimization problem is solved using a specialized genetic algorithm which uses the logic of the genetic algorithm proposed by Chu and Beasley, combined with exact optimization. The testing bench chosen for the proposed methodology was the Colombian power system of 93 nodes and 155 candidate lines. The results obtained improve the static planning solution for the Colombian power system. Domínguez Castaño, Andrés Hernando Escobar Zuluaga, Antonio Hernando Gallego Rendón, Ramón Alfonso Genetic algorithm Optimization High temperature low sag (HTLS) conductor Transmission planning demand uncertainty . 11 21 Artículo de revista Journal article 2014-10-17 00:00:00 2014-10-17 00:00:00 2014-10-17 application/pdf Revista EIA / English version Revista EIA / English version 1794-1237 2463-0950 https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/925 https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/925 spa https://creativecommons.org/licenses/by-nc-sa/4.0/ 99 112 https://revistas.eia.edu.co/index.php/Reveiaenglish/article/download/925/836 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 http://purl.org/redcol/resource_type/ARTREF info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
| institution |
UNIVERSIDAD EIA |
| thumbnail |
https://nuevo.metarevistas.org/UNIVERSIDADEIA/logo.png |
| country_str |
Colombia |
| collection |
Revista EIA / English version |
| title |
SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS |
| spellingShingle |
SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS Domínguez Castaño, Andrés Hernando Escobar Zuluaga, Antonio Hernando Gallego Rendón, Ramón Alfonso Genetic algorithm Optimization High temperature low sag (HTLS) conductor Transmission planning demand uncertainty . |
| title_short |
SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS |
| title_full |
SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS |
| title_fullStr |
SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS |
| title_full_unstemmed |
SOLUTION METHODOLOGY FOR TRANSMISSION PLANNING CONSIDERING DEMAND UNCERTAINTY AND DIFFERENT CONDUCTOR PROPOSALS |
| title_sort |
solution methodology for transmission planning considering demand uncertainty and different conductor proposals |
| description |
This paper presents a methodology for solving the static planning problem in electrical energy transmission networks considering demand uncertainty and conductor selection for the transmission lines that belong to new paths. The optimization problem is solved using a specialized genetic algorithm which uses the logic of the genetic algorithm proposed by Chu and Beasley, combined with exact optimization. The testing bench chosen for the proposed methodology was the Colombian power system of 93 nodes and 155 candidate lines. The results obtained improve the static planning solution for the Colombian power system.
|
| author |
Domínguez Castaño, Andrés Hernando Escobar Zuluaga, Antonio Hernando Gallego Rendón, Ramón Alfonso |
| author_facet |
Domínguez Castaño, Andrés Hernando Escobar Zuluaga, Antonio Hernando Gallego Rendón, Ramón Alfonso |
| topicspa_str_mv |
Genetic algorithm Optimization High temperature low sag (HTLS) conductor Transmission planning demand uncertainty . |
| topic |
Genetic algorithm Optimization High temperature low sag (HTLS) conductor Transmission planning demand uncertainty . |
| topic_facet |
Genetic algorithm Optimization High temperature low sag (HTLS) conductor Transmission planning demand uncertainty . |
| citationvolume |
11 |
| citationissue |
21 |
| publisher |
Revista EIA / English version |
| ispartofjournal |
Revista EIA / English version |
| source |
https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/925 |
| language |
spa |
| format |
Article |
| rights |
https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| type_driver |
info:eu-repo/semantics/article |
| type_coar |
http://purl.org/coar/resource_type/c_6501 |
| type_version |
info:eu-repo/semantics/publishedVersion |
| type_coarversion |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| type_content |
Text |
| publishDate |
2014-10-17 |
| date_accessioned |
2014-10-17 00:00:00 |
| date_available |
2014-10-17 00:00:00 |
| url |
https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/925 |
| url_doi |
https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/925 |
| issn |
1794-1237 |
| eissn |
2463-0950 |
| citationstartpage |
99 |
| citationendpage |
112 |
| url2_str_mv |
https://revistas.eia.edu.co/index.php/Reveiaenglish/article/download/925/836 |
| _version_ |
1811200279094231040 |