Scalable Electrical Distribution Networks Planning for Medium and Low Voltage Considering Capacity on Transformers and Voltage Drop

Milton Ruiz, Esteban Inga, Silvio Simani

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

This paper shows a heuristic algorithm for design of a scalable and reliable distribution networks using real data. The database uses a geographic information system (GIS), which contains the coordinates of households, buildings, streets, parks, etc. The data is used by the algorithm to determine the optimal path for the primary network of medium voltage (MV), secondary network of low voltage (LV), location of transformers and inspection wells. Medium and low voltage distribution networks are underground; the conductors must be deployed along the streets. This algorithm computes the capacity that each transformer needs and the voltage drop in each branch. Finally, the software CYMDIST are used to analyze the model of the distribution system, in order to validate the results of the power flow analysis, line losses, transformers load capacity and verify that voltage profiles fulfill technical specifications.

Idioma originalInglés
Título de la publicación alojadaSmart Technologies, Systems and Applications - 1st International Conference, SmartTech-IC 2019, Proceedings
EditoresFabián R. Narváez, Diego F. Vallejo, Paulina A. Morillo, Julio R. Proaño
EditorialSpringer
Páginas75-88
Número de páginas14
ISBN (versión impresa)9783030467845
DOI
EstadoPublicada - 1 ene. 2020
Evento1st International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019 - Quito, Ecuador
Duración: 2 dic. 20194 dic. 2019

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1154 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia1st International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019
País/TerritorioEcuador
CiudadQuito
Período2/12/194/12/19

Nota bibliográfica

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

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