Produktbild: ELECTRIMACS 2022
Band 1164

ELECTRIMACS 2022 Selected Papers – Volume 2

218,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.05.2025

Abbildungen

XIII, 322 p. 204 illus., 168 illus. in color.

Herausgeber

Serge Pierfederici + weitere

Verlag

Springer

Seitenzahl

322

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

511 g

Sprache

Englisch

ISBN

978-3-031-55698-2

Beschreibung

Portrait


Serge Pierfederici received the Dipl.-Ing. from the Ecole Nationale Supérieure d'Electricité et Mécanique, Nancy, France, in 1994, and the Ph.D. degree from the Institut National Polytechnique de Lorraine, Nancy, France, in 1998, all in electrical engineering. Since 2009, he has been engaged as a Full Professor at the University of Lorraine, Nancy, France. He is authored and coauthored more than 200 papers which are published in the international peer-reviewed journals. His research interests include the stability study of distributed power systems, modeling, and control of power electronic systems, and distributed control of multisources and multicarrier microgrids. Dr. Pierfederici was the recipient of several IEEE awards and he serves on the Editorial Boards of the international peer-reviewed journals.

Jean-Philippe Martin received the graduation degree in electrical engineering from the University of Nancy, Nancy, France, in 1999 and the Ph.D. degree in electrical engineering from the Institut National Polytechnique de Lorraine (INPL), Nancy, France in 2003. Since 2004, he is an Associate Professor at University of Lorraine and member of the LEMTA since January 2018. His research interests include DC and AC microgrid with centralized or decentralized control, multi-vector microgrid combining electrical, thermal and hydrogen vectors, stability study of distributed power system, static converter architectures and their interactions with fuel cell and photovoltaic system.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.05.2025

Abbildungen

XIII, 322 p. 204 illus., 168 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

322

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

511 g

Sprache

Englisch

ISBN

978-3-031-55698-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: ELECTRIMACS 2022

  • Chapter 1. Efficiency maps of synchronous machines based on electrical circuits modelling.- Chapter 2. Losses prediction in the frequency domain for voltage source einverters.- Chapter 3. Online detection of PV degradation effects through ANN Classifier.- Chapter 4. Modeling the non-linearities of charge-transfers and solid electrolyte nterphase resistances for a sodium-ion battery with  hard carbon electrode.- Chapter 5. Experimental Development of Embedded Online Impedance Spectroscopy of Lithium-Ion Batteries – Proof of concept and Validation.- Chapter 6. An Improved Maximum Power Point Tracking for Photovoltaic Distributed Energy System associated with a Shunt Active Power Filter.- Chapter 7. Modeling battery aging through high-current incremental capacity features in fast charge cycling.- Chapter 8. Fully decentralized control strategy for synchronous open-winding motors.- Chapter 9. Quasi 3D Reluctance Network Modeling of an Axial Flux Switched Reluctance Machine.- Chapter 10. A Voltage-Controlled Split-pi Converter Interfacing a High-Voltage ESS with a DC Microgrid: Modeling and Experimental Validation.- Chapter 11. Co-simulation domain decomposition algorithm for hybrid EMT-Dynamic Phasor modelling.- Chapter 12. Uncertainties Impact and Mitigation with an Adaptive Model-Based Voltage Controller.- Chapter 13. Consensus-based distributed primary control for accurate power sharing in islanded mesh microgrids.- Chapter 14. Model-free Detection of Distributed Solar Generation in Distribution Grids Based on Minimal Exogenous Information.- Chapter 15. Model-free Detection of Distributed Solar Generation in Distribution Grids Based on Minimal Exogenous Information.- Chapter 16. Load Consumption Characterization and Tariff design based on Data Mining Techniques.- Chapter 17. Energy management system by deep reinforcement learning approach in a building microgrid.- Chapter 18. Passivity based control of two distributed generations in DC microgrid.- Chapter 19. AnImproved Control of High Efficiency Series Converter for Fuel cell/Supercapacitor Hybrid System.- Chapter 20. Photovoltaics at the electric mobility’s service: French case study.- Chapter 21. Enhanced performances of the DFIG power control using the exponential reaching law based sliding mode control.