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Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing
By Rui Xie
Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing
By Rui Xie
0 - Default Title
Description
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, bulk power 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.
Product details
Binding:
Paperback
Number of Pages:
472
Release Date:
2025-05-24
Publication Date:
2025-05-24
Publisher:
Springer
Languages:
Original:
English
ISBN10:
9819725682
ISBN13:
9789819725687
GPSR Manufacturer Reference:
Weight:
709 g
Height:
155 cm
Width:
235 cm
Thickness:
26 cm
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