Emerging Transactive Energy Technology for Future Modern Energy Networks

ISBN-13: 9780323911337 / Angielski / Miękka / 2022

Kazem Zare; Behnam Mohammadi-Ivatloo; Mohammadreza Daneshvar

Spis treści

1. Overview of the transactive energy technology and grid modernization 2. Analysis of the basic requirements for switching from current energy grids to future modern multi-carrier energy networks 3. Energy trading solution: The capable leverage for a renewable-dominant future 4. The role of peer-to-peer energy trading strategy in the future modern hybrid energy networks 5. Modernized P2P energy trading market model and platform for net-zero carbon energy networks 6. New emerging transactive energy technology in modernizing future hybrid networks 7. Applications of the transactive energy technology in the multi-carrier energy network modernization 8. Optimizing and modeling the transactive energy technology in modern multi-carrier energy networks 9. A case study in the hybrid energy network with 100% renewable energy resources and future directions 10. An application of GAMS in simulating of the hybrid energy networks optimization problems

O autorze

Mohammadreza Daneshvar is a Research Associate with the Smart Energy Systems Lab in the Department of Electrical and Computer Engineering at the University of Tabriz. He is the editor of more than 40 journal and conference papers in the field of multi-energy systems, grid modernization, transactive energy, and optimizing the multi-carrier energy grids. He is the author and editor of three books with Springer, Elsevier, and Wiley-IEEE. He serves as an active reviewer with IEEE, Elsevier, Springer, Wiley, Taylor & Francis, and IOS Press, and was ranked among the top 1% of reviewers in Engineering and Cross-Field based on Publons global reviewer database. His research interests include smart grids, transactive energy, energy management, renewable energy sources, multi-carrier energy systems, grid modernization, electrical energy storage systems, microgrids, energy hubs, machine learning and deep learning, blockchain technology, and optimization techniques. Behnam Mohammadi-Ivatloo, Ph.D., is a Professor with the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. He was previously a Senior Research Fellow at Aalborg University, Denmark. Before joining the University of Tabriz, he was a research associate at the Institute for Sustainable Energy, Environment and Economy at the University of Calgary. He obtained MSc and Ph.D. degrees in electrical engineering from the Sharif University of Technology. His main research interests are renewable energies, microgrid systems, and smart grids. He has authored and co-authored more than 200 technical publications in his domain of interest, more than 30 book chapters, and 10 books. Kazem Zare PhD, SMIEEE received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include distribution networks operation and planning, power system economics, microgrid and energy management.