The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids.
The authors present MPC techniques for case studies that include different renewable sources - mainly photovoltaic and wind - as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids.
Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management.
Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Carlos Bordons has a PhD in Electrical Engineering (1994) and he is Full Professor at the Systems Engineering and Automatic Control Department of the University of Seville, Spain. He has worked in different projects in collaboration with industry in fields such as control of power management in hybrid vehicles, control of microgrids, simulation and optimization of oil pipeline networks, automation of copper furnaces or modelling and control of fuel cell systems. His current research interests include advanced process control, especially Model Predictive Control (MPC). He is the author of three books in the field of MPC published by Springer and around 60 peer-reviewed journal papers and around 80 conference papers. He is currently Associate Editor of Control Engineering Practice and he has also been Associate Editor of IEEE Transactions on Industrial Electronics and Optimal Control Application and Methods. He was a Council Member of the European Control Association from 2007 to 2015. Between 2008 and 2012 he was the Managing Director of AICIA, which is the main Research and Technology Organization in Andalusia (Southern Spain).
Felix Garcia-Torres was born in Cordoba, Spain, 1977. He received the Ph.D. degree in electrical engineering from the University of Seville, Spain, in 2015. In 2009, he joined the Centro Nacional del Hidrogeno, Puertollano, Spain, where he is currently responsible for the Microgrids Laboratory. Prior to this, he worked at several research centers and companies such as the Instituto de Automatica Industrial-Consejo Superior de Investigaciones Cientificas (Spain), the University of Seville spin-off GreenPower Technologies (Spain), and the Universite Catholique de l'Ouest (Angers, France). His current research interests include advanced power electronics and control to introduce energy storage technologies in transport and smart grids applications.Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids.The authors present MPC techniques for case studies that include different renewable sources - mainly photovoltaic and wind - as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids.Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. 288 pp. Englisch. N° de réf. du vendeur 9783030245726
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Taschenbuch. Etat : Neu. Model Predictive Control of Microgrids | Carlos Bordons (u. a.) | Taschenbuch | Advances in Industrial Control | xix | Englisch | 2020 | Springer | EAN 9783030245726 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 119004599
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. N° de réf. du vendeur 9783030245726
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids.The authors present MPC techniques for case studies that include different renewable sources - mainly photovoltaic and wind - as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids.Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. N° de réf. du vendeur 9783030245726
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