Publications by the same author
plus in the repository
plus in Google Scholar

Bibliografische Daten exportieren
 

Iterative Dynamic Programming : An Efficient Method for the Validation of Power Flow Control Strategies

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00006933
URN to cite this document: urn:nbn:de:bvb:703-epub-6933-9

Title data

Rüther, Tom ; Mößle, Patrick ; Mühlbauer, Markus ; Bohlen, Oliver ; Danzer, Michael A.:
Iterative Dynamic Programming : An Efficient Method for the Validation of Power Flow Control Strategies.
In: Electricity. Vol. 3 (2022) Issue 4 . - pp. 542-562.
ISSN 2673-4826
DOI der Verlagsversion: https://doi.org/10.3390/electricity3040027

[thumbnail of electricity-03-00027-v2.pdf]
Format: PDF
Name: electricity-03-00027-v2.pdf
Version: Published Version
Available under License Creative Commons BY 4.0: Attribution
Download (1MB)

Project information

Project title:
Project's official title
Project's id
Open Access Publizieren
No information

Further data

Item Type: Article in a journal
Keywords: dynamic programming; multistate systems; computational efficiency; power flow control strategies; heterogeneous battery energy storage system; BESS
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Institutions of the University: Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Electrical Energy Systems
Faculties > Faculty of Engineering Science > Chair Electrical Energy Systems > Chair Electrical Energy Systems - Univ.-Prof. Dr.-Ing. Michael Danzer
Research Institutions > Central research institutes > Bayerisches Zentrum für Batterietechnik - BayBatt
Research Institutions
Research Institutions > Central research institutes
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-6933-9
Date Deposited: 30 Mar 2023 06:58
Last Modified: 30 Mar 2023 06:59
URI: https://epub.uni-bayreuth.de/id/eprint/6933

Downloads

Downloads per month over past year