Universidad Carlos III de Madrid

Encuesta satisfacción e-cienciaDatos

e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es aceptado por las principales editoriales científicas

Estamos comprometidos con la mejora de nuestro servicio. Conocer mejor sus expectativas nos ayudará a adaptar nuestros servicios a sus necesidades.

Si desea colaborar con nosotros, seleccione su institución para comenzar la encuesta.

Gracias por su colaboración.

UAH UAM UC3M UNED UPM URJC

Ninguna de las anteriores

Recordármelo más tarde | No volver a mostrar este mensaje

Repositorio de Datos de la UC3M

Dataverses destacados

Para usar esta funcionalidad ha de tener publicado o enlazado al menos un dataverse.

Publicar dataverse

¿Está seguro de que quiere publicar su dataverse? Una vez hecho esto, deberá permanecer publicado.

Publicar dataverse

Este dataverse no puede publicarse porque el dataverse al que pertenece no se ha publicado.

Eliminar dataverse

¿Está seguro de que quiere eliminar este dataverse? No podrá recuperarlo.

6.411 a 6.420 de 6.430 Resultados

network_reduction.pdf 3 abr 2017 - A Python program to reduce electrical networks Adobe PDF - 124,7 KB - MD5: 76c7f08c9bcce1c5dc0f6b9e7e5b3776 Description of data files. Description of the software.
reduce_network.py 3 abr 2017 - A Python program to reduce electrical networks Desconocido - 8,7 KB - MD5: 99c99521f85bb3476ca4cc3205c244ac The developed program in Python.
Transient Stability Constrained Optimal Power Flow GAMS model generator on Python 21 nov 2016 Ledesma Larrea, Pablo, 2016, "Transient Stability Constrained Optimal Power Flow GAMS model generator on Python", https://doi.org/10.21950/OCSRBX, e-cienciaDatos, V1 Transient Stability Constrained Optimal Power Flow (TSCOPF) is a nonlinear optimization problem used to perform economic dispatches while ensuring transient stability. This paper proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a...
ieee118.dyr 21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python Desconocido - 2,0 KB - MD5: 98edb8e83aab29106837deadee89de8d A raw dynamic file that can be used together with ieee118.raw in PSSE
ieee118.raw 21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python Desconocido - 54,0 KB - MD5: 47210f890b938e0115c4f1e8ca57031c File containing the IEEE 118 Bus System in PSSE format
new_england.raw 21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python Desconocido - 17,8 KB - MD5: 2165fc80c69990dcefe364fb9c6050e7 File containing the New England 39 Bus System in PSSE format
plot_w.m 21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python Desconocido - 17,6 KB - MD5: 7239f458e30af5ac5aefbec0aa7b58f2 Octave/Matlab file
README.txt 21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python Texto plano - 1,1 KB - MD5: 5aadfa5b5c47eb3f1acbb1f781c75e5e Description of the data files
tscopf.gms 21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python Desconocido - 49,7 KB - MD5: 32afd851fc29e83d97613d3d316c6e42 GAMS model
write_tscopf.py 21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python Desconocido - 23,1 KB - MD5: 72443890b7bc81f13174de67b72f93c3 Python file that builds the TSCOPF model

network_reduction.pdf

3 abr 2017 - A Python program to reduce electrical networks

Adobe PDF - 124,7 KB -

Description of data files. Description of the software.

reduce_network.py

3 abr 2017 - A Python program to reduce electrical networks

Desconocido - 8,7 KB -

The developed program in Python.

Transient Stability Constrained Optimal Power Flow GAMS model generator on Python

21 nov 2016

Ledesma Larrea, Pablo, 2016, "Transient Stability Constrained Optimal Power Flow GAMS model generator on Python", https://doi.org/10.21950/OCSRBX, e-cienciaDatos, V1

Transient Stability Constrained Optimal Power Flow (TSCOPF) is a nonlinear optimization problem used to perform economic dispatches while ensuring transient stability. This paper proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a...

ieee118.dyr

21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python

Desconocido - 2,0 KB -

A raw dynamic file that can be used together with ieee118.raw in PSSE

ieee118.raw

21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python

Desconocido - 54,0 KB -

File containing the IEEE 118 Bus System in PSSE format

new_england.raw

21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python

Desconocido - 17,8 KB -

File containing the New England 39 Bus System in PSSE format

plot_w.m

21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python

Desconocido - 17,6 KB -

Octave/Matlab file

README.txt

21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python

Texto plano - 1,1 KB -

Description of the data files

tscopf.gms

21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python

Desconocido - 49,7 KB -

GAMS model

write_tscopf.py

21 nov 2016 - Transient Stability Constrained Optimal Power Flow GAMS model generator on Python

Desconocido - 23,1 KB -

Python file that builds the TSCOPF model

Añadir datos

Necesita identificarse para crear un dataverse o añadir un dataset.

Iniciar sesión

Compartir dataverse

Enlace al dataverse

Reiniciar modificaciones