Python Scripting for DIgSILENT powerfactory

López, Claudio; Rueda Torres, Jose Luis Rueda

Python Scripting for DIgSILENT powerfactory

Leveraging the python API for scenario manipulation and analysis of large datasets

Book chapter (2018)

Authors

Claudio López Intelligent Electrical Power Grids -

Jose Luis Rueda Rueda Torres Intelligent Electrical Power Grids -

Research Group

Intelligent Electrical Power Grids () (TU Delft)

Https://repository.tudelft.nl/Thing_f4d1f6f8-51a7-4890-9c63-28bdf2d5c5f4 Python Scripting Data analysis Simulation management

To reference this document use:

http://resolver.tudelft.nl/uuid:f4d1f6f8-51a7-4890-9c63-28bdf2d5c5f4

More Info

expand_more

Published Date

2018

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

The need to set up and simulate different scenarios, and later analyse the results, is widespread in the power systems community. However, scenario management and result analysis can quickly increase in complexity as the number of scenarios grows. This complexity is particularly high when dealing with modern smart grids. The Python API provided with DIgSILENT PowerFactory is a great asset when it comes to automating simulation-related tasks. Additionally, in combination with the well-established Python libraries for data analysis, analysis of results can be greatly simplified. This chapter illustrates the synergic relationship that can be established between DIgSILENT PowerFactory and a set of Python libraries for data analysis by means of the Python API, and the simplicity with which this relationship can be established. The examples presented here show that it can be beneficial to exploit the Python API to combine DIgSILENT PowerFactory with other Python libraries and serve as evidence that the possible applications are mainly limited by the creativity of the user.

Files

L_pez_RuedaTorres2018_Chapter_... (pdf)

(pdf | 4.91 Mb)

Unknown license

Download not available