03616nam a22005295i 4500 978-981-97-2566-3 DE-He213 20251030112057.0 cr nn 008mamaa 240523s2024 si | s |||| 0|eng d 9789819725663 978-981-97-2566-3 10.1007/978-981-97-2566-3 doi TK1001-1841 THR bicssc TEC031020 bisacsh THR thema Xie, Rui. author. aut http://id.loc.gov/vocabulary/relators/aut 77371 Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing [electronic resource] / by Rui Xie, Wei Wei. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XX, 452 p. 81 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Introduction -- Preliminary -- Basic Distributionally Robust Optimization -- Moment-Based Distributionally Robust Optimization -- Divergence Distributionally Robust Optimization -- Wasserstein-Distance Distributionally Robust Optimization. This book introduces the mathematical foundations of distributionally robust optimization (DRO) for decision-making problems with ambiguous uncertainties and applies them to tackle the critical challenge of energy storage sizing in renewable-integrated power systems, providing readers with an efficient and reliable approach to analyze and design real-world energy systems with uncertainties. Covering a diverse range of topics, this book starts by exploring the necessity for energy storage in evolving power systems and examining the benefits of employing distributionally robust optimization. Subsequently, the cutting-edge mathematical theory of distributionally robust optimization is presented, including both the general theory and moment-based, KL-divergence, and Wasserstein-metric distributionally robust optimization theories. The techniques are then applied to various practical energy storage sizing scenarios, such as stand-alone microgrids, large-scale renewable power plants, bulkpower grids, and multi-carrier energy networks. This book offers clear explanations and accessible guidance to bridge the gap between advanced optimization methods and industrial applications. Its interdisciplinary scope makes the book appealing to researchers, graduate students, and industry professionals working in electrical engineering and operations research, catering to both beginners and experts. Electric power production. 65675 Mathematical models. 66910 Operations research. 57943 Electrical Power Engineering. 65867 Mathematical Modeling and Industrial Mathematics. 66912 Operations Research and Decision Theory. 67143 Wei, Wei. author. aut http://id.loc.gov/vocabulary/relators/aut 77372 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819725656 Printed edition: 9789819725670 Printed edition: 9789819725687 https://doi.org/10.1007/978-981-97-2566-3 ZDB-2-ENE ZDB-2-SXEN 60096 60096