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. - Reviews advanced modeling approaches relevant to the integration of electricity, heat and gas systems in operation studies - Covers stochastic and robust optimal operation of integrated multi-energy systems - Evaluates MPC based, real-time dispatch of integrated multi-energy systems - Considers uncertainty modeling for stochastic and robust optimization - Assesses optimal operation and real-time dispatch for multi-energy building complexes

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.

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.

• Reviews advanced modeling approaches relevant to the integration of electricity, heat and gas systems in operation studies
• Covers stochastic and robust optimal operation of integrated multi-energy systems
• Evaluates MPC based, real-time dispatch of integrated multi-energy systems
• Considers uncertainty modeling for stochastic and robust optimization
• Assesses optimal operation and real-time dispatch for multi-energy building complexes

1. Introduction of integrated multi-energy systems 2. Modeling of integrated multi-energy systems 3. Uncertainty modelling of wind power for stochastic and robust optimization 4. Optimal operation of multi-energy building complex 5. MPC based real-time dispatch of multi-energy building complex 6. Adaptive robust two-stage optimal operation of integrated electricity and heat system 7. Decentralized robust optimal operation of multiple integrated electricity and heat systems 8. Chance constrained energy and reserve scheduling for integrated electricity and heating systems considering wind spatio-temporal correlations 9. Day-ahead stochastic optimal operation of integrated electricity and heat systems considering reserve of flexible devices 10. Two-stage stochastic optimal operation of integrated energy systems 11. MPC based real-time operation of integrated energy systems