| 书目名称 | Optimization of Electric-Vehicle Charging |
| 副标题 | Scheduling and Plann |
| 编辑 | Giulio Ferro,Riccardo Minciardi,Michela Robba |
| 视频video | |
| 概述 | Offers an interdisciplinary approach to electric vehicle management in a smart grid.Provides worked examples to illustrate the points discussed.Defines models and methods useful for both academic and |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | .This book provides models and methods for the optimal management of electrical vehicles through an interdisciplinary approach that brings together knowledge from the sectors of transportation, manufacturing and smart grids...Optimization of Electric-Vehicle Charging. explores several optimization models for the scheduling of electric vehicles in a smart grid. Both discrete-time and discrete-event approaches are considered to minimize tardiness, charging and production costs, on the basis of information like release time, due date, deadline, energy request, and availability of energy generated from renewable sources. Transportation demand is assessed, as well as user-equilibrium-based approaches, for the location of charging stations and for the assignment of users to multiple charging stations...Employing illustrations, tables and examples to elucidate the ideas presented, this book will be of value to researchers and practitioners in the fields of electrical engineering and transportation, as well as to graduate and PhD students.. |
| 出版日期 | Book 2024 |
| 关键词 | Electric Vehicles; Optimal Scheduling; Microgrids; Smart Grids; Control of Discrete-Event Systems; Chargi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-61917-5 |
| isbn_softcover | 978-3-031-61919-9 |
| isbn_ebook | 978-3-031-61917-5Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:35:16
