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Titlebook: Decentralized Charging Coordination of Large-scale Plug-in Electric Vehicles in Power Systems; Zhongjing Ma Book 2020 Springer Nature Sing

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書目名稱Decentralized Charging Coordination of Large-scale Plug-in Electric Vehicles in Power Systems
編輯Zhongjing Ma
視頻videohttp://file.papertrans.cn/265/264140/264140.mp4
概述The first book to focus on designing decentralized algorithms for large-scale PEVs.Implements a range of optimization schemes.Rigorously verifies and simulates the proposed methods
圖書封面Titlebook: Decentralized Charging Coordination of Large-scale Plug-in Electric Vehicles in Power Systems;  Zhongjing Ma Book 2020 Springer Nature Sing
描述This book focuses on the design of decentralized optimization methods applied to charging strategies for large-scale PEVs in electrical power systems. It studies several classes of charging coordination problems in large-scale PEVs by considering the distinct characteristics of PEV populations and electrical power systems, and subsequently designs decentralized methods based on distinct optimization schemes – such as non-cooperative games, mean-field games, and auction games – to achieve optimal/nearly optimal charging strategies. In closing, several performance aspects of the proposed algorithms, such as their convergence, computational complexity and optimality etc., are rigorously verified and demonstrated in numerical simulations.?.Given its scope, the book will benefit researchers, engineers, and graduate students in the fields of optimization, game theory, auction games, electrical power systems, etc., and help them design decentralized methods to implement optimal charging strategies in large-scale PEVs..
出版日期Book 2020
關(guān)鍵詞Electric Vehicles; Charging Coordination; large-scale Systems; Decentralized Algorithm; Non-cooperative
版次1
doihttps://doi.org/10.1007/978-981-13-7652-8
isbn_ebook978-981-13-7652-8
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Decentralized Charging and Discharging Coordination,d by applying the gradient projection method, such that the coordination behaviors of individual PEVs can be updated locally and simultaneously. It is proved that, the convergence and optimality of the proposed method are guaranteed in case the step-size parameter of the update procedure is in a cer
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