- Weitere Titel
-
Fehlererkennung und Isolierung in Gleichstrom-Verteilnetzen
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Aachen : E.ON Energy Research Center, RWTH Aachen University, 2021 (E.ON Energy Research Center ; ACS, Automation of complex power systems; 91.)
RWTH Aachen University, Dissertation, 2021
- Klassifikation
-
Elektrotechnik, Elektronik
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2021
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2021-06033
- URN
-
urn:nbn:de:101:1-2021081007562914153846
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:50 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Wang, Ting
- Monti, Antonello
- Moser, Albert
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2021
Ähnliche Objekte (12)
Generation of training data for fault detection and diagnosis algorithms using fault simulation and parameter uncertainty
Fault detection and isolation in DC distribution grids
Towards Risk Assessment of Smart Grids with Heterogeneous Assets
Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids
A Compressive Sensing Approach for Fault Location in Distribution Grid Branches
Data-Driven Approaches for Monitoring of Distribution Grids
Investigating converter control interactions in the transmission grid
Optimal placement of sectionalizing switches for radial distribution grids
Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing
Impact of Network Parameters Uncertainties on Distribution Grid Power Flow
Multi-timescale framework for the voltage control of active distribution grids
Stochastics based methods enabling testing of grid related algorithms through simulation
Generation of training data for fault detection and diagnosis algorithms using fault simulation and parameter uncertainty
Fault detection and isolation in DC distribution grids
Towards Risk Assessment of Smart Grids with Heterogeneous Assets
Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids
A Compressive Sensing Approach for Fault Location in Distribution Grid Branches
Data-Driven Approaches for Monitoring of Distribution Grids
Investigating converter control interactions in the transmission grid
Optimal placement of sectionalizing switches for radial distribution grids
Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing
Impact of Network Parameters Uncertainties on Distribution Grid Power Flow
Multi-timescale framework for the voltage control of active distribution grids
Stochastics based methods enabling testing of grid related algorithms through simulation
Generation of training data for fault detection and diagnosis algorithms using fault simulation and parameter uncertainty
Fault detection and isolation in DC distribution grids
Towards Risk Assessment of Smart Grids with Heterogeneous Assets
Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids
A Compressive Sensing Approach for Fault Location in Distribution Grid Branches
Data-Driven Approaches for Monitoring of Distribution Grids
Investigating converter control interactions in the transmission grid
Optimal placement of sectionalizing switches for radial distribution grids
Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing
Impact of Network Parameters Uncertainties on Distribution Grid Power Flow
Multi-timescale framework for the voltage control of active distribution grids