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010   $a981-9725-66-6
024 7 $a10.1007/978-981-97-2566-3
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035   $a(Au-PeEL)EBL31352501
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035   $a(DE-He213)978-981-97-2566-3
035   $a(EXLCZ)9932141989800041
100   $a20240523d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aDistributionally Robust Optimization and its Applications in Power System Energy Storage Sizing /$fby Rui Xie, Wei Wei
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (461 pages)
311 08$a981-9725-65-8 
327   $aIntroduction -- Preliminary -- Basic Distributionally Robust Optimization -- Moment-Based Distributionally Robust Optimization -- Divergence Distributionally Robust Optimization -- Wasserstein-Distance Distributionally Robust Optimization.
330   $aThis 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.
606   $aElectric power production
606   $aMathematical models
606   $aOperations research
606   $aElectrical Power Engineering
606   $aMathematical Modeling and Industrial Mathematics
606   $aOperations Research and Decision Theory
615  0$aElectric power production.
615  0$aMathematical models.
615  0$aOperations research.
615 14$aElectrical Power Engineering.
615 24$aMathematical Modeling and Industrial Mathematics.
615 24$aOperations Research and Decision Theory.
676   $a621.31
700   $aXie$b Rui$01741038
701   $aWei$b Wei$0559260
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910864196803321
996   $aDistributionally Robust Optimization and Its Applications in Power System Energy Storage Sizing$94166965
997   $aUNINA