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Urban DC Microgrid Intelligent Control and Power Flow Optimization

Langue : Anglais

Auteurs :

Couverture de l’ouvrage Urban DC Microgrid

Urban DC Microgrid: Intelligent Control and Power Flow Optimization focuses on microgrids for urban areas, particularly associated with building-integrated photovoltaic and renewable sources. This book describes the most important problems of DC microgrid application, with grid-connected and off-grid operating modes, aiming to supply DC building distribution networks.

The book considers direct current (DC) microgrid to supply DC building distribution networks for positive energy buildings; dynamic interactions with the utility grid based on communication with the smart grid; supervisory control systems; and energy management. The global power system is exposed and the DC microgrid system is presented and analyzed with results and discussion, highlighting both the advantages and limitations of the concept. Coverage at the system level of microgrid control as well as the various technical aspects of the power system components make this a book interesting to academic researchers, industrial energy researchers, electrical power and power system professionals.

1. Connecting and Integrating Variable Renewable Electricity in Utility Grid2. Photovoltaic Source Modeling and Control3. Backup Power Resources for Microgrid4. Direct Current Microgrid Power Modeling and Control5. Direct Current Microgrid Supervisory System Design6. Experimental Evaluation of Urban Direct Current Microgrid

For graduate students and researchers in universities and research institutes for corporate engineers and employees who are working on and/or interested in microgrids. Also for university undergraduate students and people who are interested in high level technology science and engineering of renewable energy sources.

Manuela SECHILARIU received the Dipl.Ing. degree in Electrical Engineering in 1986 from Institute Polytechnic Iasi, Romania, and the PhD degree in Electrical Engineering and Automatic in 1993 from Université d’Angers, France. Since 2013 she obtained the HDR degree in Electrical Engineering from Université de Technologie de Compiègne, France, the highest French academic title, and then the qualification required for Full Professor. The obtaining of HDR, accreditation to supervise research, confers official recognition of the high scientific level and capability to optimally manage a research strategy in a sufficiently wide scientific field (Smart Grid and Microgrids). From 1989 she was an Assistant Professor with Institute Polytechnic Iasi, Romania, and from 1994, she was an Associate Professor with Université d’Angers, France. In 2002, she joined the Université de Technologie de Compiègne, France.

Manuela SECHILARIU has over 20 years of research experience. Her first research topic focused on the modeling and simulation of static converters by Petri Nets which quickly led to the study of hybrid dynamical systems. Contributions were made to the definition, classification and optimal control of these systems. Since 2006 she has directed the research in the study of decentralized renewable electricity production, urban microgrids and energy management systems. She has delivered several invited lectures and has published more than 60 refereed scientific and technical papers in international journals and conferences, with over 350 citations (SCOPUS), on topics such as renewable energy systems, including microgrids, photovoltaic-powered systems, economic dispatch optimization, supervisory control, and Petri Nets and Stateflow modeling.

Her research has been funded by agencies and sponsors including the CNRS (National Center for Scientific Research), ADEME (The French Environment and Energy Management Agency), FEDER (European Fund for Regional Economic Deve

  • Provides a strong overview of microgrid modelling
  • Describes the most important problems of DC microgrid application, with grid-connected and off-grid operating modes, aiming to supply DC building distribution networks
  • Offers experimental problem examples and results
  • Includes supervisory control and energy management

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