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Titlebook: Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing; Rui Xie,Wei Wei Book 2024 The Editor(s) (

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發(fā)表于 2025-3-21 16:10:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing
編輯Rui Xie,Wei Wei
視頻videohttp://file.papertrans.cn/283/282012/282012.mp4
概述Provides a tutorial on the cutting-edge mathematical theory of distributionally robust optimization.Illustrates how to apply distributionally robust optimization by energy storage sizing problems.Brid
圖書封面Titlebook: Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing; Rui Xie,Wei Wei Book 2024 The Editor(s) (
描述.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, 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.
出版日期Book 2024
關(guān)鍵詞Distributionally Robust Optimization; Energy Storage Sizing; Data-driven Robust Optimization; Energy St
版次1
doihttps://doi.org/10.1007/978-981-97-2566-3
isbn_softcover978-981-97-2568-7
isbn_ebook978-981-97-2566-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-21 22:58:03 | 只看該作者
https://doi.org/10.1007/0-306-48369-6s in a more accurate mixed-integer linear programming problem. The second reformulation, based on conditional value-at-risk, provides a more tractable, albeit conservative, linear programming approximation. This chapter introduces the research presented in Xie et?al. (.).
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地板
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Sizing Wind Farm and?Energy Storage Considering Wake Effecteveloped. This method effectively transforms the DRO model into a linear programming problem. Following this, an iterative algorithm is formulated, which incorporates methods for evaluating the Lipschitz moduli.
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Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing
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Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing978-981-97-2566-3
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Book 2024rgy 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.
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發(fā)表于 2025-3-23 07:05:03 | 只看該作者
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. 978-981-97-2568-7978-981-97-2566-3
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