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Titlebook: Mathematical Modeling, Simulation and Optimization for Power Engineering and Management; Simone G?ttlich,Michael Herty,Anja Milde Book 202

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發(fā)表于 2025-3-21 18:51:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
編輯Simone G?ttlich,Michael Herty,Anja Milde
視頻videohttp://file.papertrans.cn/627/626364/626364.mp4
概述Illustrates the impact of Collaborations between Mathematics and Industry.The book’s content is inspired by, but not limited to, the topic of the recent Modeling Day on “Mathematical Modeling of Energ
叢書名稱Mathematics in Industry
圖書封面Titlebook: Mathematical Modeling, Simulation and Optimization for Power Engineering and Management;  Simone G?ttlich,Michael Herty,Anja Milde Book 202
描述.This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. ?.Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. ?.The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineeringmay also benefit strongly.??.?.
出版日期Book 2021
關(guān)鍵詞Mathematical Modeling; Energy Systems; Mathematical MSO for Power Engineering and Management; Power Eng
版次1
doihttps://doi.org/10.1007/978-3-030-62732-4
isbn_softcover978-3-030-62734-8
isbn_ebook978-3-030-62732-4Series ISSN 1612-3956 Series E-ISSN 2198-3283
issn_series 1612-3956
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Application of Continuous Stochastic Processes in Energy Market Modelsrate applications. For the stochastic modelling of the economics behind energy markets, models for temperature, demand, and renewable electricity generation are discussed. The modelling of prices on energy markets themselves is debated as a second application. Possible open source data sets for an a
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Probabilistic Analysis of Solar Power Supply Using D-Vine Copulas Based on Meteorological Variablesot clear which and how certain variables influence solar power supply at feed-in points in a distribution network. Therefore, analyzing the dependence structure of measured solar power supply and other variables is very informative and can be helpful in designing probabilistic prediction models. In
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GivEn—Shape Optimization for Gas Turbines in Volatile Energy Networkst” shape optimization algorithms. Given the many start and shut-down processes of gas power plants in volatile energy grids, besides optimizing gas turbine geometries for efficiency, the durability understood as minimization of the probability of failure is a design objective of increasing importanc
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Optimization and Stabilization of Hierarchical Electrical Networksnal power flow. This paradigm shift confronts grid operators with new problems but also new opportunities. In this chapter we point out some of these problems arising on different layers of the grid hierarchy and sketch mathematical methods to handle them. While the transmission system operator’s ma
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New Time Step Strategy for Multi-period Optimal Power Flow Problemsms of equations whose size is proportional to the number of considered time steps. In this paper we propose a new approach to reduce the amount of time steps needed. Assuming that the power grid’s dynamic is mainly determined by changes of the residual demand, we drop time steps in case it does not
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Reducing Transmission Losses via Reactive Power Controlicient manner. It is inevitable that power is lost along these lines due to active as well as reactive power flows. However, the losses caused by reactive power flows can be reduced by optimizing the power factor. Therefore, we propose a power flow optimization problem aiming to reduce losses by con
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