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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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41#
發(fā)表于 2025-3-28 14:39:35 | 只看該作者
Storage Sizing in Power Networks to Reduce Renewable Generation Curtailmentpecialized power flow model incorporating voltage and reactive power is utilized. The uncertainty of renewable energy production is expressed through inexact probability distributions, encapsulated in a data-driven ambiguity set based on Wasserstein distance. Using this data, the rate of renewable e
42#
發(fā)表于 2025-3-28 19:29:58 | 只看該作者
Sizing Renewable, Transmission, and Energy Storage in Low-Carbon Power Systemsity sets based on Wasserstein distance are used for modeling renewable energy generation and load demand uncertainties. A distributionally robust bi-objective sizing model is proposed that minimizes the total investment cost and the worst-case expectation of carbon emissions in normal situations whi
43#
發(fā)表于 2025-3-29 02:03:23 | 只看該作者
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發(fā)表于 2025-3-29 03:21:38 | 只看該作者
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發(fā)表于 2025-3-29 07:44:27 | 只看該作者
46#
發(fā)表于 2025-3-29 12:48:12 | 只看該作者
Rui Xie,Wei WeiProvides 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
47#
發(fā)表于 2025-3-29 16:28:41 | 只看該作者
48#
發(fā)表于 2025-3-29 20:54:38 | 只看該作者
https://doi.org/10.1007/978-981-97-2566-3Distributionally Robust Optimization; Energy Storage Sizing; Data-driven Robust Optimization; Energy St
49#
發(fā)表于 2025-3-30 02:08:09 | 只看該作者
978-981-97-2568-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-30 04:34:19 | 只看該作者
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