Current limiting algorithms and transient stability analysis of grid-forming VSCs | Qoria, Taoufik
/5

0 avis

Current limiting algorithms and transient stability analysis of grid-forming VSCs

Archive ouverte : Article de revue

Qoria, Taoufik | Gruson, François | Colas, Fréderic | Kestelyn, Xavier | Guillaud, Xavier

Edité par HAL CCSD ; Elsevier

Consulter en ligne

Suggestions

Du même auteur

Inertia effect and load sharing capability of grid forming converters connected to a transmission grid | Qoria, Taoufik

Inertia effect and load sharing capability of grid forming converters conn...

Archive ouverte: Communication dans un congrès

Qoria, Taoufik | 2019-02-05

International audience. The virtual synchronous machine concept (VSM) has been developed initially to reproduce the synchronous machine stabilizing effect by providing inertia with the emulation of swing equation, w...

Direct AC Voltage Control for Grid-Forming Inverters | Qorai, Taoufik

Direct AC Voltage Control for Grid-Forming Inverters

Archive ouverte: Article de revue

Qorai, Taoufik | 2019-12-18

International audience. Grid-forming inverters usually use inner cascaded controllers to regulate output AC voltage and converter output current. However, at the power transmission system level where the power inver...

A PLL-Free Grid-Forming Control With Decoupled Functionalities for High-Power Transmission System Applications | Qoria, Taoufik

A PLL-Free Grid-Forming Control With Decoupled Functionalities for High-Pow...

Archive ouverte: Article de revue

Qoria, Taoufik | 2020

International audience. This paper proposes a grid-forming control strategy with a generic implementation approach to meet the transmission system requirements asking for the massive integration of power electronic ...

Du même sujet

Reading History of Science as a Physics and Mathematics Framework for Newton Geneva Edition (1822) | Pisano, Raffaele

Reading History of Science as a Physics and Mathematics Framework for Newto...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-04-19

International audience

On Mechanics and Thermodynamics Analogies in History of Physics-Mathematics and Teaching Science | Pisano, Raffaele

On Mechanics and Thermodynamics Analogies in History of Physics-Mathematics...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-05-12

International audience

On the epistemic interplay between physics and mathematics such as a dynamical framework within nos–research teaching science | Pisano, Raffaele

On the epistemic interplay between physics and mathematics such as a dynami...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-06-12

International audience

A CMOS Compatible Thermoelectric Device made of Crystalline Silicon Membranes with Nanopores | Bah, Thierno-Moussa

A CMOS Compatible Thermoelectric Device made of Crystalline Silicon Membran...

Archive ouverte: Article de revue

Bah, Thierno-Moussa | 2022-12-10

International audience. Herein, we report the use of nanostructured crystalline silicon as a thermoelectric material and its integration into thermoelectric devices. The proof-of-concept relies on the partial suppre...

Effet de l'angle de charge sur les harmoniques d'efforts magnétiques dans les machines synchrones à aimants permanents surfaciques | Le Besnerais, Jean

Effet de l'angle de charge sur les harmoniques d'efforts magnétiques dans l...

Archive ouverte: Communication dans un congrès

Le Besnerais, Jean | 2016-06-07

International audience. Cet article étudie l'effet de l'angle de charge sur les efforts harmoniques de Maxwell (tangentiels et radiaux) et les bruits et vibrations d'origine magnétique dans deux machines synchrones ...

Further investigation of convolutional neural networks applied in computational electromagnetism under physics‐informed consideration | Gong, Ruohan

Further investigation of convolutional neural networks applied in computati...

Archive ouverte: Article de revue

Gong, Ruohan | 2022-04-07

International audience. Convolutional neural networks (CNN) have shown great potentials and have been proven to be an effective tool for some image-based deep learning tasks in the field of computational electromagn...

Chargement des enrichissements...