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Microgrid intelligent control with optimized power-energy management: Multi-layer energy management strategy towards smart grid interaction - Couverture souple

Baochao, Wang

 
9786202360302: Microgrid intelligent control with optimized power-energy management: Multi-layer energy management strategy towards smart grid interaction
Couverture souple
ISBN 10 : 6202360305 ISBN 13 : 9786202360302
Editeur : Presses Académiques Francophones, 2017

Synopsis

By grouping renewable sources, traditional sources, storage and local consumption as a microgird, it is possible to handle the difficulty of large scale renewable energy penetration due to the issues of intermittent and random production. Based on a representative microgrid in urban area and integrated in buildings, a multi-layer supervision is proposed, in order to realise a systemic study while particularly attempting to cover the research gap of implementing optimisation in realtime operation. The supervision handles together power balancing, optimisation, metadata and information from both users and the grid. The supervision has been validated by experimental tests. The feasibility of implementing optimisation in real-time operation is validated even with uncertainties. The supervision is able to manage efficiently the power flow while maintaining power balancing in any case. Nevertheless, optimization effect relies on prediction precision. This problem can be improved in future works by updating optimization in real-time.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

By grouping renewable sources, traditional sources, storage and local consumption as a microgird, it is possible to handle the difficulty of large scale renewable energy penetration due to the issues of intermittent and random production. Based on a representative microgrid in urban area and integrated in buildings, a multi-layer supervision is proposed, in order to realise a systemic study while particularly attempting to cover the research gap of implementing optimisation in realtime operation. The supervision handles together power balancing, optimisation, metadata and information from both users and the grid. The supervision has been validated by experimental tests. The feasibility of implementing optimisation in real-time operation is validated even with uncertainties. The supervision is able to manage efficiently the power flow while maintaining power balancing in any case. Nevertheless, optimization effect relies on prediction precision. This problem can be improved in future works by updating optimization in real-time.

Biographie de l'auteur

Baochao Wang received the Ph.D degree in electrical engineering from University of Technology of Compiegne (UTC), Compiegne, France, in 2014. He is now with Harbin Institute of Technology. His research interests include renewable energy integration and power quality, PMSM drive and control, as well as electrical machine design.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Presses Académiques Francophones
Date d'édition
2017
Langue
anglais
ISBN 10 
6202360305
ISBN 13 
9786202360302
Reliure
Broché
Nombre de pages
200
Coordonnées du fabricant
non disponible
Personne responsable
GPSR Kontakt
info@bod.de

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