Elsevier Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty

Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty discusses core concepts, advanced modeling and key operation strategies for integrated multi-energy systems geared for use in optimal operation. The book particularly focuses on reviewing novel operating strategies supported by relevant code in MATLAB and GAMS. It covers foundational concepts, key challenges and opportunities in operational implementation, followed by discussions of conventional approaches to modeling electricity, heat and gas networks. This modeling is the base for more detailed operation strategies for optimal operation of integrated multi-energy systems under uncertainty covered in the latter part of the work. Review Reviews foundations, advanced modeling and strategic operation schemes for integrated multi-energy system geared to optimal operation From the Back Cover Modeling and Optimal Operation of Integrated Multi-Energy Systems discusses core concepts, advanced modelling, and key operation strategies for integrated multi-energy systems geared for optimal operation. It focuses particularly on reviewing novel operating strategies supported by relevant code in MATLAB and GAMS. The book covers foundational concepts, key challenges and opportunities in operational implementation, followed by discussion of conventional approaches to modeling electricity, heat and gas networks. This modeling is the base for more detailed operation strategies for optimal operation of integrated multi-energy systems under uncertainty covered in the latter part of the work. About the Author Qiuwei Wu received the PhD degree in Power System Engineering from Nanyang Technological University, Singapore, in 2009. He was a senior R&D engineer with Vestas Technology R&D Singapore Pte Ltd from Mar. 2008 to Oct. 2009. He has been working at Department of Electrical Engineering, Technical University of Denmark (DTU) since Nov. 2009 (PostDoc Nov. 2009-Oct. 2010, Assistant Professor Nov. 2010-Aug. 2013, Associate Professor since Sept. 2013). He was a visiting scholar at the Department of Industrial Engineering & Operations Research (IEOR), University of California, Berkeley, from Feb. 2012 to May 2012. He was a visiting scholar at the School of Engineering and Applied Sciences, Harvard University from Nov. 2017 – Oct. 2018. His research interests are operation and control of power systems with high penetration of renewables, including wind power modelling and control, active distribution networks, and operation of integrated energy systems. Jin Tan received the M.S. degree from the Department of Electrical Engineering, Wuhan University, Wuhan, China, in 2018. She is working toward the Ph.D. degree in electrical engineering from Technical University of Denmark, Kongens Lyngby, Denmark. Her research interests include the optimal operation of integrated electricity and heating system and renewable energy integration. Currently, she is involved in the project of Using Flexible District Heating with Heat Pumps for Integrated Electricity and Heat Dispatch with Renewables. She focuses on modeling the integrated electricity and heating system, investigating the flexibility that district heating system could provide to the electric power system, and the optimal operation for the integrated electricity and heat system considering wind power uncertainty. Menglin Zhang received the B.S. degree in electrical engineering from Southwest Jiaotong University (SWJTU), Chengdu, China, in 2011, and the Ph.D. degree in electrical engineering from Wuhan University (WHU), Wuhan, China, in 2017. She was with the Department of Electrical Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China from 2017 to 2019. Currently, she is a Post-Doctoral Researcher with the Center for Electric Power and Energy, Technical University of Denmark (DTU). Her current research interests include the modeling of temporal-spat