Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jochen Stiasny"'
Publikováno v:
IEEE Power and Energy Magazine. 20:32-41
In order to drastically reduce the heavy computational burden associated with time-domain simulations, this paper introduces a Physics-Informed Neural Network (PINN) to directly learn the solutions of power system dynamics. In contrast to the limitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ee61688386317a0d2b207c0f3a6afa5
Publikováno v:
Stiasny, J, Misyris, G S & Chatzivasileiadis, S 2021, Physics-Informed Neural Networks for Non-linear System Identification for Power System Dynamics . in Proceedings of 2021 IEEE Madrid PowerTech ., 9495063, IEEE, 2021 IEEE Madrid PowerTech, Madrid, Spain, 28/06/2021 . https://doi.org/10.1109/PowerTech46648.2021.9495063
Varying power-infeed from converter-based generation units introduces great uncertainty on system parameters such as inertia and damping. As a consequence, system operators face increasing challenges in performing dynamic security assessment and taki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca561b843360be0bc8b7f9553525f42f
http://arxiv.org/abs/2004.04026
http://arxiv.org/abs/2004.04026
Autor:
Thierry Zufferey, Giacomo Pareschi, Gabriela Hug, Jochen Stiasny, Damiano Toffanin, Konstantinos Boulouchos
Publikováno v:
Electric Power Systems Research. 191:106696
The presented work identifies the dominating influencing factors in electric vehicle (EV) modelling on low-voltage distribution grids to establish guidance for reliable impact assessments of increasing EV penetration. Seven aspects are distinguished
Autor:
Samuel Chevalier, Jochen Stiasny
Publikováno v:
Technical University of Denmark Orbit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::31c2d6a58e3dcc15c79f59f84135dcb7
https://orbit.dtu.dk/en/publications/ca1508a7-f699-4fae-8951-639c6ec2e8e4
https://orbit.dtu.dk/en/publications/ca1508a7-f699-4fae-8951-639c6ec2e8e4
Autor:
Misyris, George S., Jochen Stiasny
Publikováno v:
Technical University of Denmark Orbit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6745bdef2864e5d9463c02432edc3e70
https://orbit.dtu.dk/en/publications/7b554150-0e76-4161-bd71-4d3f1266d647
https://orbit.dtu.dk/en/publications/7b554150-0e76-4161-bd71-4d3f1266d647