£120.96

Springer Modeling and Optimization of Interdependent Energy Infrastructures

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Description

This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide students and researchers with helpful tutorials on advanced optimization methods: Basics of Linear and Conic Programs; Formulation Tricks in Integer Programming; Basics of Robust Optimization; Equilibrium Problems. This book provides theoretical foundation and technical applications for energy system integration, and the the interdisciplinary research presented will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering. From the Back Cover This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. This book provides theoretical foundation and technical applications for energy system integration. The interdisciplinary research presented in this book will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering. Provides theoretical foundation and technical applications for energy system integration; Contains new research problems and methodologies for researchers and practitioners in energy system integration; Presents in-depth discussion in a systematic fashion. About the Author Dr. Jianhui Wang is an Associate Professor with the Department of Electrical Engineering at Southern Methodist University. Dr. Wang is the Principal Investigator for a multitude of energy-related research projects focused on smart grid, microgrids, power system operation and control, renewable integration, grid resilience and cybersecurity. He has been invited to give tutorials and keynote speeches at major conferences including IEEE ISGT, IEEE SmartGridComm, IEEE SEGE, IEEE HPSC and IGEC-XI. Dr. Wang is the secretary of the IEEE Power & Energy Society (PES) Power System Operations, Planning & Economics committee. Before being promoted and elected to this position, he was the chair of the IEEE PES Power System Operation Methods Subcommittee for six years. He is also the recipient of the IEEE Chicago Section 2012 Outstanding Young Engineer Award. Dr. Wang has authored and/or co-authored more than 300 journal and conference publications, which have been cited for more than 14,300 times by his peers. He is an associate editor of Journal of Energy Engineering, an editorial board member of Applied Energy and IEEE Power and Energy Magazine. He served as guest editor for a special issue of the IEEE Power and Energy Magazine on Electrification of Transportation, which won an APEX Grand Award. Dr. Wang also served as the editor of Artech House Publishers’ Power Engineering Book Series, and as the Technical Program Chair of the 2012 IEEE PES Innovative Smart Grid T

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 November 2019
Listed Since
18 June 2019

Barcode

No barcode data available

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