Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Abha Pragati"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100606- (2024)
In this modern era, the smart grid (SG) is progressively empowered for direct current (DC) power transmission, either at high voltage (HV) or at medium voltage (MV). The high voltage direct current (HVDC) transmission systems have a significant impac
Externí odkaz:
https://doaj.org/article/ca19cc3c86a749dd9a3d8c92494d98ec
Autor:
Abha Pragati, Manohar Mishra, Pravat Kumar Rout, Debadatta Amaresh Gadanayak, Shazia Hasan, B. Rajanarayan Prusty
Publikováno v:
Energies, Vol 16, Iss 11, p 4413 (2023)
The extensive application of power transfer through high-voltage direct current (HVDC) transmission links in smart grid scenarios is due to many factors such as high-power transfer efficiency, decoupled interconnection, control of AC networks, reliab
Externí odkaz:
https://doaj.org/article/8147073a27a14c44b3bfa2c4056642d0
Data-Mining Techniques Based Relaying Support for Symmetric-Monopolar-Multi-Terminal VSC-HVDC System
Publikováno v:
Applied System Innovation, Vol 6, Iss 1, p 24 (2023)
Considering the advantage of the ability of data-mining techniques (DMTs) to detect and classify patterns, this paper explores their applicability for the protection of voltage source converter-based high voltage direct current (VSC-HVDC) transmissio
Externí odkaz:
https://doaj.org/article/a1f224bb5d244b148a073882c5d6eb15
Publikováno v:
2023 International Conference for Advancement in Technology (ICONAT).
Publikováno v:
Recent Advances in Power Electronics and Drives ISBN: 9789811585852
This research introduces a genetic algorithm optimization control technique to conventional PI controller that merges with the sliding mode control strategy for direct torque control in induction motor drive. This technique controls the rapid variati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15550d4ac4f1c75de6d1a6fc419e191a
https://doi.org/10.1007/978-981-15-8586-9_32
https://doi.org/10.1007/978-981-15-8586-9_32