Demand Response Analysis: Computational Tool
Transmission system congestion is a problem that affects the quality of electric power service. Users suffer continuous interruptions causing problems in their comfort, quality of life, equipment and household appliances [1]. This project is essential and indispensable because of facing a problem th...
- Autores:
-
Restrepo, Camila
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad del Norte
- Repositorio:
- Repositorio Uninorte
- Idioma:
- spa
- OAI Identifier:
- oai:manglar.uninorte.edu.co:10584/8905
- Acceso en línea:
- http://hdl.handle.net/10584/8905
- Palabra clave:
- Respuesta a la Demanda, Cargabilidad, Contingencia
- Rights
- License
- Universidad del Norte
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| dc.title.en_US.fl_str_mv |
Demand Response Analysis: Computational Tool |
| dc.title.es_ES.fl_str_mv |
Aplicación Informática para el Análisis de la Gestión de Demanda |
| title |
Demand Response Analysis: Computational Tool |
| spellingShingle |
Demand Response Analysis: Computational Tool Respuesta a la Demanda, Cargabilidad, Contingencia |
| title_short |
Demand Response Analysis: Computational Tool |
| title_full |
Demand Response Analysis: Computational Tool |
| title_fullStr |
Demand Response Analysis: Computational Tool |
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Demand Response Analysis: Computational Tool |
| title_sort |
Demand Response Analysis: Computational Tool |
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Restrepo, Camila |
| dc.contributor.advisor.none.fl_str_mv |
Arango, Adriana |
| dc.contributor.author.none.fl_str_mv |
Restrepo, Camila |
| dc.subject.es_ES.fl_str_mv |
Respuesta a la Demanda, Cargabilidad, Contingencia |
| topic |
Respuesta a la Demanda, Cargabilidad, Contingencia |
| description |
Transmission system congestion is a problem that affects the quality of electric power service. Users suffer continuous interruptions causing problems in their comfort, quality of life, equipment and household appliances [1]. This project is essential and indispensable because of facing a problem that directly affects the population and quality of life. Demand management is used in order to solve the system problem. First, a theoretical review related to demand response is provided to select the Emergency program as a strategy to handle the problem. IEEE-39 Node is modified and implemented alongside a demand curve with similar behavior of the Colombian electricity system. In the application, the user chooses the element to be disconnected, and depending on the response of the system; an optimization function is applied that disconnects a percentage of the load to improve the system's loadability. This application was built in Matlab due to software availability by the academic license and previous software experience. Besides, MatPower package was selected because of the specific functions for the analysis of power systems. In the interface, the results are organized in four graphs that show pre-contingency loadability, post-contingency loadability, and performed DR loadability. In addition, the optimal percentage of the charge that has to be disconnected is shown to guarantee the highest reduction in system loadability. Additionally, the user can execute the most critical contingency for a specific period, which will be the most congested in the system. Finally, a reduction in system congestion can be noted in the event of contingencies. |
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2020 |
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2020-06-11T21:20:29Z |
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2020-06-11T21:20:29Z |
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2020-06-11 |
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article |
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http://hdl.handle.net/10584/8905 |
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spa |
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spa |
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Universidad del Norte |
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Universidad del Norte http://purl.org/coar/access_right/c_abf2 |
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Barranquilla, Universidad del Norte, 2020 |
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Universidad del Norte |
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1808401290344005632 |
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Arango, AdrianaRestrepo, Camila2020-06-11T21:20:29Z2020-06-11T21:20:29Z2020-06-11http://hdl.handle.net/10584/8905Transmission system congestion is a problem that affects the quality of electric power service. Users suffer continuous interruptions causing problems in their comfort, quality of life, equipment and household appliances [1]. This project is essential and indispensable because of facing a problem that directly affects the population and quality of life. Demand management is used in order to solve the system problem. First, a theoretical review related to demand response is provided to select the Emergency program as a strategy to handle the problem. IEEE-39 Node is modified and implemented alongside a demand curve with similar behavior of the Colombian electricity system. In the application, the user chooses the element to be disconnected, and depending on the response of the system; an optimization function is applied that disconnects a percentage of the load to improve the system's loadability. This application was built in Matlab due to software availability by the academic license and previous software experience. Besides, MatPower package was selected because of the specific functions for the analysis of power systems. In the interface, the results are organized in four graphs that show pre-contingency loadability, post-contingency loadability, and performed DR loadability. In addition, the optimal percentage of the charge that has to be disconnected is shown to guarantee the highest reduction in system loadability. Additionally, the user can execute the most critical contingency for a specific period, which will be the most congested in the system. Finally, a reduction in system congestion can be noted in the event of contingencies.La problemática enfrentada es la congestión en el sistema de transmisión que afecta la calidad de la prestación del servicio de energía eléctrica. Los usuarios de este servicio sufren continuas interrupciones causando problemas en la calidad de vida, los equipos y/o electrodomésticos. La importancia y necesidad de este proyecto está sustentada en enfrentar una problemática que afecta directamente a la población. Gestión de la demanda (DR) es utilizada para enfrentar los problemas del sistema. Primero, se realiza una revisión teórica relacionada con la DR, para seleccionar el programa de Emergencia como una estrategia para enfrentar la problemática. Para ello se implementa la solución en el sistema IEEE-39 Nodos modificado, al que se le implementa una curva de demanda, con características similares a la colombiana. Para la construcción de la aplicación el usuario escoge el elemento a desconectar y dependiendo de la respuesta del sistema se aplica una función de optimización que desconecta un porcentaje de carga para mejorar la cargabilidad del sistema. Matlab y MatPower son las herramientas de desarrollo utilizadas para implementar está aplicación. Dicha selección se realizó con base en la disponibilidad de licencias académicas otorgada por la universidad y la experiencia previa en el manejo del software. Adicionalmente, MatPower cuenta con funciones especiales para el análisis de sistemas de potencia. Los resultados obtenidos en la interfaz están organizados en cuatro graficas que muestran la cargabilidad del sistema antes de la contingencia, después de ella y al realizar la DR. Además, se muestra el porcentaje óptimo de la carga que tiene que ser desconectado para garantizar la mayor reducción en la cargabilidad del sistema. Adicionalmente, el usuario puede ejecutar la contingencia más crítica para un periodo especifico, la cual será la que más congestione el sistema. Finalmente, se puede notar una reducción de la congestión del sistema ante contingencias.spaBarranquilla, Universidad del Norte, 2020Universidad del Nortehttp://purl.org/coar/access_right/c_abf2Respuesta a la Demanda, Cargabilidad, ContingenciaDemand Response Analysis: Computational ToolAplicación Informática para el Análisis de la Gestión de Demandaarticlehttp://purl.org/coar/resource_type/c_6501ORIGINALProblematica.pdfProblematica.pdfapplication/pdf50284http://manglar.uninorte.edu.co/bitstream/10584/8905/1/Problematica.pdf568b911ed5cd63829806ca7fdf6a3596MD51DRAT.pngDRAT.pngimage/png74630http://manglar.uninorte.edu.co/bitstream/10584/8905/2/DRAT.pngb9bb18b34c63ee1c2b99c752d8673fe8MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://manglar.uninorte.edu.co/bitstream/10584/8905/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310584/8905oai:manglar.uninorte.edu.co:10584/89052020-06-11 16:20:29.219Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.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 |