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Titlebook: Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid; Ran Wang,Ping Wang,Gaoxi Xiao Book 2018 Springer Nature

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發(fā)表于 2025-3-21 19:36:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid
編輯Ran Wang,Ping Wang,Gaoxi Xiao
視頻videohttp://file.papertrans.cn/470/469831/469831.mp4
概述Proposes new and effective methods to handle uncertainties in the operation of smart grids.Provides useful insights to help system operators develop rational investment strategies.Helps readers quickl
圖書(shū)封面Titlebook: Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid;  Ran Wang,Ping Wang,Gaoxi Xiao Book 2018 Springer Nature
描述This book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs). It focuses on developing theoretical frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different uncertainties so that the total cost of operating the microgrid or the EV charging system can be minimized and the systems maintain stabilized. With random factors in the problem formulation and corresponding designed algorithms, it provides insights into how to handle uncertainties and develop rational strategies in the operation of smart grid systems. Written by leading experts, it is a valuable resource for researchers, scientists and engineers in the field of intelligent management of future power grids.?.
出版日期Book 2018
關(guān)鍵詞Smart Grid; Microgrids; Electric Vehicles; Optimization Algorithms; Renewable Energy; Scheduling under Un
版次1
doihttps://doi.org/10.1007/978-981-10-4250-8
isbn_softcover978-981-13-5087-0
isbn_ebook978-981-10-4250-8
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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發(fā)表于 2025-3-22 00:11:59 | 只看該作者
Literature Review,ctives in different scenarios. We first give an overview of the energy management mechanisms in microgrids. We then review existing works concerning electric vehicle charging strategies. The limitations of previous literature and the advantages of our method over theirs are analyzed.
板凳
發(fā)表于 2025-3-22 02:33:34 | 只看該作者
Energy Generation Scheduling in Microgrids,ntegration of large-scale renewable sources and the use of combined heat and power (CHP) generators. Such features, however, impose significant difficulties on the design of intelligent control strategies for microgrids.
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發(fā)表于 2025-3-22 06:19:33 | 只看該作者
Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy,nd, in each time slot, the renewable energy and user demand are considered as either deterministic or random variables. Current literature rarely takes the correlation information of renewable energy generation or user demand into account when they design the energy generation scheduling schemes.
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Hybrid Charging Control of Electric Vehicles,ironmental crisis associated with their wide usage, is driving the electrification of transportation and extensive use of electric vehicles (EVs). EVs are emerging as an efficient and sustainable alternative for private and public road transportation.
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發(fā)表于 2025-3-22 21:29:19 | 只看該作者
Book 2018develop rational strategies in the operation of smart grid systems. Written by leading experts, it is a valuable resource for researchers, scientists and engineers in the field of intelligent management of future power grids.?.
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發(fā)表于 2025-3-23 03:45:40 | 只看該作者
Book 2018ehicles (EVs). It focuses on developing theoretical frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different uncertainties so that the total cost of operating the microgrid or the EV charging system can be minimized and the systems maintain stabil
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發(fā)表于 2025-3-23 09:10:39 | 只看該作者
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