English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems

Büttner, A., Würfel, H., Plietzsch, A., Lindner, M., Hellmann, F. (2022): An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. - In: 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), New York : IEEE, 9769114.
https://doi.org/10.1109/OSMSES54027.2022.9769114

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_27992 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_27992_1
Genre: Book Chapter

Files

show Files
hide Files
:
Buettner_2022__Open_Power_Simulation_Conference.pdf (Publisher version), 3MB
 
File Permalink:
-
Name:
Buettner_2022__Open_Power_Simulation_Conference.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Büttner, Anna1, Author              
Würfel, Hans1, Author              
Plietzsch, Anton1, Author              
Lindner, Michael1, Author              
Hellmann, Frank1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: BlockSystems.jl and NetworkDynamics.jl are two novel software packages which facilitate highly efficient transient stability simulations of power networks. Users may specify inputs and power system design in a convenient modular and equation-based manner without compromising on speed or model detail. Written in the high-level, high-performance programming language Julia [1] a rich open-source package ecosystem is available, which provides state-of-the-art solvers and machine learning algorithms [2].Motivated by the recent interest in the Nordic inertia challenge [3] we have implemented the Nordic5 test case [4] and tuned its control parameters by making use of the machine learning and automatic differentiation capabilities of our software stack.

Details

show
hide
Language(s): eng - English
 Dates: 2022-05-09
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/OSMSES54027.2022.9769114
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Complex Networks
Model / method: Open Source Software
Working Group: Dynamics, stability and resilience of complex hybrid infrastructure networks
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES)
Source Genre: Book
 Creator(s):
Affiliations:
Publ. Info: New York : IEEE
Pages: - Volume / Issue: - Sequence Number: 9769114 Start / End Page: - Identifier: ISBN: 978-1-6654-1008-3
DOI: 10.1109/OSMSES54027.2022