A methodological proposal for the technical conception of microgrids
This paper introduces a methodology for the technical conception of microgrids. It takes into account aspects such as the topological survey of the medium power electrical system, the preselection of renewable sources technologies, the prioritisation of the electrical demand, the localization, dimen...
- Autores:
-
Mina Casaran, Juan David
Echeverry, Diego Fernando
Lozano Moncada, Carlos Arturo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- spa
- OAI Identifier:
- oai:repository.udem.edu.co:11407/5524
- Acceso en línea:
- http://hdl.handle.net/11407/5524
https://doi.org/10.22395/rium.v18n34a12
- Palabra clave:
- Power quality; Power delivered; Distributed generation; IREG index; SI index; Microgrid; Voltage profile
Qualidadede energia; Despacho de potência; Geração distribuída; Índice IREG; Índice SI; Microrrede; Perfil de tensão.
Calidad de energía; Despacho de potencia; Generación distribuida; Índice IREG; Índice SI; Micro-red; Perfil de tensión
- Rights
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Summary: | This paper introduces a methodology for the technical conception of microgrids. It takes into account aspects such as the topological survey of the medium power electrical system, the preselection of renewable sources technologies, the prioritisation of the electrical demand, the localization, dimensioning and operative strategies of the distributed generators, the components model and the microgrid evaluation. This methodology proposes the use of a multi-criteria analysis technique for the prioritisation of the demand and the stability index of (SI) voltage for the location of distributed generators in the microgrid. In this work the computational tool for the power system analysis Neplan® was used for the components modeling and evaluation of the microgrid performance through the IREG voltage regulation index and the optimal power management of the microgrid’s generation units. |
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