Risk Modeling, Analysis and Control of Multi-energy Systems - Song, Yonghua
- Format: Broché Voir le descriptif
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Présentation Risk Modeling, Analysis And Control Of Multi - Energy Systems de Song, Yonghua Format Broché
- Livre Littérature Générale
Résumé :
This book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail. Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc....
Biographie:
(1) Professor Yonghua Song is the Rector of the University of Macau and Director of the State Key Laboratory of Internet of Things for Smart City. He has held a number of leadership positions and served as professor in electrical engineering at British and Chinese universities, including Pro-Vice-Chancellor of Brunel University and Pro-Vice Chancellor of University of Liverpool, Assistant President of Tsinghua University and Executive Vice President of Zhejiang University.
Sommaire:
This book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail. Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc....