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Grid connected converters : modeling, stability and control /

Grid Connected Converters: Modeling, Stability and Control discusses the foundations and core applications of this diverse field, from structure, modeling and dynamic equivalencing through power and microgrids dynamics and stability, before moving on to controller synthesis methodologies for a power...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bevrani, Hassan (Autor), Kato, Toshiji (Autor), Ise, Toshifumi (Autor), Inoue, Kaoru (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge, MA : Elsevier, 2022.
Temas:
Acceso en línea:Texto completo

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520 |a Grid Connected Converters: Modeling, Stability and Control discusses the foundations and core applications of this diverse field, from structure, modeling and dynamic equivalencing through power and microgrids dynamics and stability, before moving on to controller synthesis methodologies for a powerful range of applications. The work opens with physical constraints and engineering aspects of advanced control schemes. Robust and adaptive control strategies are evaluated using real-time simulation and experimental studies. Once foundations have been established, the work goes on to address new technical challenges such as virtual synchronous generators and synergic inertia emulation in response to low inertia challenges in modern power grids. The book also addresses advanced systematic control synthesis methodologies to enhance system stability and dynamic performance in the presence of uncertainties, practical constraints and cyberattacks. 
588 |a Description based on online resource; title from PDF title page (ScienceDirect, viewed August 25, 2022). 
650 0 |a Electric current converters. 
650 7 |a Electric current converters  |2 fast  |0 (OCoLC)fst00904633 
700 1 |a Kato, Toshiji,  |e author. 
700 1 |a Ise, Toshifumi,  |e author. 
700 0 |a Inoue, Kaoru,  |e author. 
776 0 8 |i Print version:  |t Grid connected converters.  |d [Place of publication not identified] : Elsevier, 2022  |z 0323999026  |w (OCoLC)1263864760 
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