- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2367-0983
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Review of protection and fault handling for a flexible DC grid ; volume:5 ; number:1 ; day:19 ; month:5 ; year:2020 ; pages:1-15 ; date:12.2020
Protection and control of modern power systems ; 5, Heft 1 (19.5.2020), 1-15, 12.2020
- Classification
-
Elektrotechnik, Elektronik
- Creator
-
He, Jinghan
Chen, Keao
Li, Meng
Luo, Yiping
Liang, Chenguang
Xu, Yin
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s41601-020-00157-9
- URN
-
urn:nbn:de:101:1-2020082918491750336513
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:56 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- He, Jinghan
- Chen, Keao
- Li, Meng
- Luo, Yiping
- Liang, Chenguang
- Xu, Yin
- SpringerLink (Online service)
Other Objects (12)
Calculating the most likely intron splicing orders in S. pombe, fruit fly, Arabidopsis thaliana, and humans
Temperature sensitivity of carbon concentrating mechanisms in the diatom Phaeodactylum tricornutum
Trends in GeTe Thermoelectrics: From Fundamentals to Applications
Risk factors of deep vein thrombosis of lower extremity in patients undergone gynecological laparoscopic surgery: what should we care
A vertical track nonlinear energy sink
Incorporating Real Option Value in Valuing Innovation: A Way Forward
HVDC grid protection based on fault blocking converters
Impaired neurogenesis and neural progenitor fate choice in a human stem cell model of SETBP1 disorder
Advances in Ionic Thermoelectrics: From Materials to Devices
Fluorescence Sensing with Cellulose‐Based Materials
Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis
Strontium and Zinc Co-Doped Mesoporous Bioactive Glass Nanoparticles for Potential Use in Bone Tissue Engineering Applications
Calculating the most likely intron splicing orders in S. pombe, fruit fly, Arabidopsis thaliana, and humans
Temperature sensitivity of carbon concentrating mechanisms in the diatom Phaeodactylum tricornutum
Trends in GeTe Thermoelectrics: From Fundamentals to Applications
Risk factors of deep vein thrombosis of lower extremity in patients undergone gynecological laparoscopic surgery: what should we care
A vertical track nonlinear energy sink
Incorporating Real Option Value in Valuing Innovation: A Way Forward
HVDC grid protection based on fault blocking converters
Impaired neurogenesis and neural progenitor fate choice in a human stem cell model of SETBP1 disorder
Advances in Ionic Thermoelectrics: From Materials to Devices
Fluorescence Sensing with Cellulose‐Based Materials
Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis
Strontium and Zinc Co-Doped Mesoporous Bioactive Glass Nanoparticles for Potential Use in Bone Tissue Engineering Applications
Calculating the most likely intron splicing orders in S. pombe, fruit fly, Arabidopsis thaliana, and humans
Temperature sensitivity of carbon concentrating mechanisms in the diatom Phaeodactylum tricornutum
Trends in GeTe Thermoelectrics: From Fundamentals to Applications
Risk factors of deep vein thrombosis of lower extremity in patients undergone gynecological laparoscopic surgery: what should we care
A vertical track nonlinear energy sink
Incorporating Real Option Value in Valuing Innovation: A Way Forward
HVDC grid protection based on fault blocking converters
Impaired neurogenesis and neural progenitor fate choice in a human stem cell model of SETBP1 disorder
Advances in Ionic Thermoelectrics: From Materials to Devices
Fluorescence Sensing with Cellulose‐Based Materials
Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis