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Design and Analysis of Distributed Energy Management Systems: Integration of EMS, EV, and ICT 2020 ed. [Kietas viršelis]

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  • Formatas: Hardback, 205 pages, aukštis x plotis: 235x155 mm, weight: 494 g, 53 Illustrations, color; 37 Illustrations, black and white; X, 205 p. 90 illus., 53 illus. in color., 1 Hardback
  • Serija: Power Electronics and Power Systems
  • Išleidimo metai: 22-Jan-2020
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030336719
  • ISBN-13: 9783030336714
  • Formatas: Hardback, 205 pages, aukštis x plotis: 235x155 mm, weight: 494 g, 53 Illustrations, color; 37 Illustrations, black and white; X, 205 p. 90 illus., 53 illus. in color., 1 Hardback
  • Serija: Power Electronics and Power Systems
  • Išleidimo metai: 22-Jan-2020
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030336719
  • ISBN-13: 9783030336714

This book provides key ideas for the design and analysis of complex energy management systems (EMS) for distributed power networks. Future distributed power networks will have strong coupling with (electrified) mobility and information-communication technology (ICT) and this book addresses recent challenges for electric vehicles in the EMS, and how to synthesize the distributed power network using ICT. This book not only describes theoretical developments but also shows many applications using test beds and provides an overview of cutting edge technologies by leading researchers in their corresponding fields. 

  • Describes design and analysis of energy management systems;
  • Illustrates the synthesis of distributed energy management systems based on aggregation of local agents;
  • Discusses dependability issues of the distributed EMS with emphasis on the verification scheme based on remote-operational hardware-in-the-loop (HIL) simulation and cybersecurity.

Part I Design and Analysis of Energy Management Systems Considering Consumer Demand and Use of Electric Vehicles
1 Activity-Based Modeling for Integration of Energy Systems for House and Electric Vehicle
3(24)
Yohei Yamaguchi
Nikhil Prakash
Yoshiyuki Simoda
2 Probabilistic Model and Prediction of Vehicle Daily Use
27(20)
Shinkichi Inagaki
Tatsuya Suzuki
3 Design of a Home Energy Management System Integrated with an Electric Vehicle (V2H+HPWH EMS)
47(20)
Anh Tuan Tran
Akihiko Kawashima
Shinkichi Inagaki
Tatsuya Suzuki
4 Range Extension Autonomous Driving for Electric Vehicles Based on Optimization of Velocity Profile Considering Traffic Signal Information
67(20)
Hiroshi Fujimoto
Hideki Yoshida
Yoshi Ri
Part II Synthesis of Distributed Energy Management Systems Based on Aggregation of Local EMSs and Vehicles
5 Real-Time Pricing and Decentralized Optimization Strategy for Power Flow Balancing in EV/PHV Storage Management
87(20)
Kenji Hirata
6 A Scalable Control Approach for Providing Regulation Services with Grid-Integrated Electric Vehicles
107(22)
Stijn Vandael
Tom Holvoet
Geert Deconinck
Hikari Nakano
Willett Kempton
7 A Continuum Approach to Assessing the Impact of Spatiotemporal EV Charging to Distribution Grids
129(16)
Yoshihiko Susuki
Naoto Mizuta
Akihiko Kawashima
Yutaka Ota
Atsushi Ishigame
Shinkichi Inagaki
Tatsuya Suzuki
Part III Toward Dependable Distributed Energy Management System Using ICT
8 Cyber Security for Voltage Control of Distribution Systems Under Data Falsification Attacks
145(22)
Hideaki Ishii
Shinya Yoshizawa
Yu Fujimoto
Isao Ono
Takashi Onoda
Yasuhiro Hayashi
9 Machine Learning Based Intrusion Detection in Control System Communication
167(36)
Takashi Onoda
Index 203
Tatsuya Suzuki is a Professor at Nagoya Universitys Graduate School of Engineering. 





 





Shinkichi Inagaki is an Associate Professor at Nagoya Universitys Graduate School of Engineering. 





 





Yoshihiko Susuki is an Associate Professor at Osaka Prefecture Universitys Graduate School of Engineering.





 





Anh Tuan Tran is a Post Doctoral researcher at Nagoya Universitys Graduate School of Engineering. ng.