The surge in renewable and distributed energy sources has posed significant challenges for smart power distribution network (SPDN). These challenges fall into two main categories: the unpredictability of renewable energy sources and the complexities introduced by numerous electrical devices and their interdependencies, affecting forecasting and operational performance. As the emphasis on SPDN's economic and environmental aspects grows, this book focuses on the vital themes of sustainability and cost-efficiency in SPDN forecasting, planning, and operation. It is structured into three key parts:
1. SPDN Situation Awareness: This section assesses prior research methods, analyzes their shortcomings while dissecting SPDN's unique situation awareness characteristics. Then, some forecast and virtual collection methods are presented.
2. Boosting SPDN Planning: Addressing optimal planning challenges in SPDN, this part introduces advanced modelling and algorithm solvingtechniques, tailored to mitigate SPDN's inherent uncertainty.
3. Enhancing SPDN Operation: Considering a variety of equipment types and controllable loads, this section explores strategies to boost SPDN operational performance. It covers control methodologies for electric vehicles, flexible loads, energy storage, and related equipments, etc.
Tailored for university researchers, engineers, and graduate students in electrical engineering and computer science, this book is a valuable resource for comprehending SPDN's situation awareness, planning, and operation intricacies in the context of sustainability and economic efficiency.
| ISBN: | 9789819967605 |
| Publication date: | 9th October 2024 |
| Author: | Leijiao Ge, Yuanzheng Li |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Paperback |
| Pagination: | 234 pages |
| Series: | Power Systems |
| Genres: |
Energy, power generation, distribution and storage Automatic control engineering Machine learning |
The surge in renewable and distributed energy sources has posed significant challenges for smart power distribution network (SPDN). These challenges fall into two main categories: the unpredictability of renewable energy sources and the complexities introduced by numerous electrical devices and their interdependencies, affecting forecasting and operational performance.
Smart Power Distribution Network features in the following genres: Energy, power generation, distribution and storage, Automatic control engineering, Machine learning
Paperback, Hardback. £98.99, down from the £109.99 cover price. Not Available.
Smart Power Distribution Network was written by Leijiao Ge, Yuanzheng Li and published by Springer an imprint of Springer Nature Singapore
Smart Power Distribution Network has 234 pages
Yes it is part of Power Systems series
£98.99, reduced from £109.99. Not Available.