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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.
Table des matières
Part I. Design and analysis of energy management systems considering consumer demand and use of electric vehicles.- Chapter 1. Activity-based modeling for integration of energy systems for house and electric vehicle.- Chapter 2. Probabilistic model and prediction of vehicle daily use.- Chapter 3. Design of a home energy management system integrated to a vehicle(V2H+HPWH EMS).- Chapter 4. Range extension autonomous driving for electric vehicles based on optimization of velocity profile considering traffic signal information.- Part II. Synthesis of distributed energy management systems based on aggregation of local EMSs and vehicles.- Chapter 5. Real-time pricing and decentralized optimization strategy for power flow balancing in EV/PHV storage management.- Chapter 6. A scalable control approach for providing regulation services with grid-integrated electric vehicles.- Chapter 7. A continuum approach to assessing the impact of spatiotemporal EV charging to distribution grids.- Part III. Toward dependable distributed Energy Management System using ICT.- Chapter 8. Cyber security for voltage control of distribution systems under data falsification attacks.- Chapter 9. Machine learning based intrusion detection in control system communication.
A propos de l'auteur
Tatsuya Suzuki is a Professor at Nagoya University's Graduate School of Engineering.
Shinkichi Inagaki is an Associate Professor at Nagoya University's Graduate School of Engineering.
Yoshihiko Susuki is an Associate Professor at Osaka Prefecture University's Graduate School of Engineering.
Anh Tuan Tran is a Post Doctoral researcher at Nagoya University's Graduate School of Engineering. ng.
