Risk Modeling, Analysis and Control of Multi-energy Systems

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.

Comprehensively studies risk modeling, analysis and quantification of multi-energy systems Proposes effective measures to control risks of multi-energy systems Implements interdisciplinary among electrical engineering, thermodynamics, complex system and etc

Autorentext
Sheng Wang received the B.E. and Ph.D. degrees in electrical engineering from Zhejiang University, Hangzhou, China, in 2016 and 2021, respectively. From 2021 to 2023, he served as a research engineer at the State Grid (Suzhou) Urban Energy Research Institute, a postdoctoral researcher at the State Key Laboratory of Internet of Things for Smart City at the University of Macau, and a senior power systems researcher and a marie curie postdoctoral fellow at University College Dublin. He is currently a Newcastle University Academic Track (NUAcT) Fellow at the School of Engineering, Newcastle University, UK. His research interests include the decarbonization of energy systems with hydrogen integration. Hongxun Hui received the B.E. and Ph.D. degrees in electrical engineering from Zhejiang University, Hangzhou, China, in 2015 and 2020, respectively. From 2018 to 2019, he was a visiting scholar with the Advanced Research Institute, Virginia Tech, and the CURENT Centre, University of Tennessee. He is currently an assistant professor with the State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao SAR, China. His research interests include energy system optimization, power economics, carbon markets, and interdisciplinary energy-environment systems. Yi Ding received the bachelor’s degree in electrical engineering from Shanghai Jiaotong University, Shanghai, China, in 2000, and the Ph.D. degree in electrical engineering from Nanyang Technological University, Singapore, in 2007. He is currently a professor with the College of Electrical Engineering, Zhejiang University. His research interests include power systems reliability/performance analysis, incorporating renewable energy resources, smart grid performance analysis, and engineering systems reliability modelling and optimization. Yonghua Song received the B.E. degree from Chengdu University of Science and Technology, Chengdu, China, in 1984, and the Ph.D. degree from China Electric Power Research Institute, Beijing, China, in 1989, both in electrical engineering. From 1989 to 1991, he was a postdoctoral fellow with Tsinghua University, Beijing, China. He then held various positions with Bristol University, Bristol, U.K.; Bath University, Bath, U.K.; John Moores University, Liverpool, U.K., from 1991 to 1996. In 1997, he was a professor of Power Systems with Brunel University, where he served as a pro-vice chancellor for Graduate Studies since 2004. In 2007, he took up a Pro-Vice Chancellorship and Professorship of Electrical Engineering at the University of Liverpool, Liverpool. In 2009, he was with Tsinghua University as a professor of Electrical Engineering and an assistant president and the deputy director with the Laboratory of Low-Carbon Energy. From November 2012 to December 2017, he served as Executive Vice President and a professor at Zhejiang University. From January 2018, he has been the Rector and a chair professor at University of Macau, Macao SAR, China.

Inhalt
Multi-energy systems and risk issues.- A Framework for Risk Modeling of Integrated Electricity and Gas Systems Utilizing Universal Generating Function Techniques.- Short-Term Risk Evaluation of Integrated Electricity and Gas Systems Considering Dynamics of Gas Flow.- Risk Evaluation of Integrated Electricity and Gas Systems Considering Cascading Effects.- Definitions and Risk Modelling of Two-Interdependent-Performance Multi-State System and its Application for CHP units.- Operational Risk Assessment of Integrated Electricity and Heating Systems with CHP units.- Operational Risk of Multi-Energy Customers Considering Service-Based Self-Scheduling.- Multi-phase Risk Modelling and Evaluation of Multi-energy Systems under Windstorms.- Long-term Reserve Expansion of Integrated Electricity and Gas Systems for Risk Mitigation.- Operational Risk Assessment of Integrated Electricity and Heating Systems with CHP units.