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
| Summary: | 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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