Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems

This paper presents a novel methodology to solve the problem of Optimal Reactive Power Flow (ORPF) in interconnected multi-area power systems. The main contribution of this paper is the use of a coordinated-decentralized strategy that allows keeping autonomy and confidentiality in the operating proc...

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Autores:
Julio César López; Universidad Estadual Paulista
Jesús María López Lezama; Universidad de Antioquia
José Roberto Sanches Mantovani; Universidad Estadual Paulista
Tipo de recurso:
Fecha de publicación:
2011
Institución:
Universidad del Norte
Repositorio:
Repositorio Uninorte
Idioma:
spa
OAI Identifier:
oai:manglar.uninorte.edu.co:10584/4167
Acceso en línea:
http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/3617
http://hdl.handle.net/10584/4167
Palabra clave:
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http://purl.org/coar/access_right/c_abf2
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network_acronym_str REPOUNORT2
network_name_str Repositorio Uninorte
repository_id_str
spelling Julio César López; Universidad Estadual PaulistaJesús María López Lezama; Universidad de AntioquiaJosé Roberto Sanches Mantovani; Universidad Estadual PaulistaColombia2013-08-31T23:11:06Z2013-08-31T23:11:06Z2011-12-11http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/3617http://hdl.handle.net/10584/4167This paper presents a novel methodology to solve the problem of Optimal Reactive Power Flow (ORPF) in interconnected multi-area power systems. The main contribution of this paper is the use of a coordinated-decentralized strategy that allows keeping autonomy and confidentiality in the operating processes of each area. In the proposed model of multiarea ORPF the Transmission System Operators (TSOs) of each area operate independently, and do not need explicit information regarding neighbor areas, being only necessary to exchange border information related to the interconnection lines between areas. The proposed methodology is based on the application of Successive Linear Programming (SLP) and the decomposition scheme by areas is developed through the Dantzing-Wolfe method. To show the robustness and efficiency of the proposed approach a three-area system is used, in which each area corresponds to an IEEE118-bus test system. The problem is solved in a centralized and decentralized fashion obtaining identical results.En este artículo se presenta una nueva metodología para la solución del problema de Flujo de Potencia Óptimo Reactivo (FPOR) en sistemas eléctricos de potencia interconectados multiárea. El principal aporte de este artículo es el uso de una estrategia descentralizada y coordinada que permite mantener autonomía y confidencialidad en los procesos de operación de cada área. En el modelo propuesto de FPOR multiárea, los Operadores del Sistema de Transmisión (OSTs) de cada área operan de forma independientemente, y no necesitan conocer explícitamente los datos de áreas vecinas, siendo solo necesario intercambiar información de frontera relacionada con las líneas de interconexión entre áreas. La metodología propuesta se basa en la aplicación de Programación Lineal Sucesiva (PLS) y el esquema de descomposición por áreas es desarrollado a través del método de Dantzig-Wolfe. Para probar la robustez y eficiencia de la metodología propuesta se utiliza un sistema de tres áreas, cada una de las cuales corresponde a un sistema IEEE de 118 barras. El problema es solucionado de forma centralizada y descentralizada y se obtienen resultados idénticos.application/pdfspaUniversidad del NorteRevista Científica Ingeniería y Desarrollo; Vol 29, No 2 (2011): Julio - Diciembre; 153-169instname:Universidad del Nortereponame:Repositorio Digital de la Universidad del NorteCoordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power SystemsFlujo de potencia óptimo reactivo descentralizado y coordinado en sistemas eléctricos de potencia multiáreaarticlepublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/access_right/c_abf210584/4167oai:172.16.14.36:10584/41672015-10-07 01:47:19.992Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.co
dc.title.none.fl_str_mv Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems
Flujo de potencia óptimo reactivo descentralizado y coordinado en sistemas eléctricos de potencia multiárea
title Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems
spellingShingle Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems
title_short Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems
title_full Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems
title_fullStr Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems
title_full_unstemmed Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems
title_sort Coordinated-Decentralized Optimal Reactive Power Flow in Multi-Area Electric Power Systems
dc.creator.fl_str_mv Julio César López; Universidad Estadual Paulista
Jesús María López Lezama; Universidad de Antioquia
José Roberto Sanches Mantovani; Universidad Estadual Paulista
dc.contributor.author.none.fl_str_mv Julio César López; Universidad Estadual Paulista
Jesús María López Lezama; Universidad de Antioquia
José Roberto Sanches Mantovani; Universidad Estadual Paulista
description This paper presents a novel methodology to solve the problem of Optimal Reactive Power Flow (ORPF) in interconnected multi-area power systems. The main contribution of this paper is the use of a coordinated-decentralized strategy that allows keeping autonomy and confidentiality in the operating processes of each area. In the proposed model of multiarea ORPF the Transmission System Operators (TSOs) of each area operate independently, and do not need explicit information regarding neighbor areas, being only necessary to exchange border information related to the interconnection lines between areas. The proposed methodology is based on the application of Successive Linear Programming (SLP) and the decomposition scheme by areas is developed through the Dantzing-Wolfe method. To show the robustness and efficiency of the proposed approach a three-area system is used, in which each area corresponds to an IEEE118-bus test system. The problem is solved in a centralized and decentralized fashion obtaining identical results.
publishDate 2011
dc.date.issued.none.fl_str_mv 2011-12-11
dc.date.accessioned.none.fl_str_mv 2013-08-31T23:11:06Z
dc.date.available.none.fl_str_mv 2013-08-31T23:11:06Z
dc.type.none.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.hasVersion.none.fl_str_mv publishedVersion
dc.identifier.other.none.fl_str_mv http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/3617
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10584/4167
url http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/3617
http://hdl.handle.net/10584/4167
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.ispartof.none.fl_str_mv Revista Científica Ingeniería y Desarrollo; Vol 29, No 2 (2011): Julio - Diciembre; 153-169
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.none.fl_str_mv Colombia
dc.publisher.none.fl_str_mv Universidad del Norte
publisher.none.fl_str_mv Universidad del Norte
dc.source.none.fl_str_mv instname:Universidad del Norte
reponame:Repositorio Digital de la Universidad del Norte
instname_str Universidad del Norte
institution Universidad del Norte
reponame_str Repositorio Digital de la Universidad del Norte
collection Repositorio Digital de la Universidad del Norte
repository.name.fl_str_mv Repositorio Digital de la Universidad del Norte
repository.mail.fl_str_mv mauribe@uninorte.edu.co
_version_ 1812183124414562304

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