Enhancing Resilience in Distribution Systems
Language: English
Published by Elsevier, 2025
- Softcover
- New
Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
AbeBooks seller since September 10, 2024
Condition: New
£ 173.87
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- Title
- Enhancing Resilience in Distribution Systems
- Author
- Li, Fangxing Fran; Shi, Qingxin; Zhao, Jin
- Publisher
- Elsevier
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443236402
- ISBN 13
- 9780443236402
Enhancing Resilience in Power Distribution Systems presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. The book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks.
Packed with practical steps and tools for implementing the latest technologies, this book provides researchers and industry professionals with guidance on the resilient systems of the future.
- Breaks down novel methodologies and tools from deep learning to generative adversarial networks
- Supports readers in implementing practical steps towards resilient renewable energy
- Presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems
"Synopsis" may belong to another edition of this title.
About the Author
Qingxin Shi is an Assistant Professor in the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. His research interests include demand response, resilient urban power systems, and hydrogen-electric integrated energy systems. He serves as the Associate Editor of Protection and Control of Modern Power Systems and the IEEE Open Access Journal of Power and Energy (OAJPE).
Jin Zhao is an Assistant Professor in the Department of Electronic & Electrical Engineering, Trinity College Dublin, Ireland. Her research interests include power system resilience, climate adaptive energy systems, microgrids and machine learning. She currently serves as Senior Editor for IET Generation, Transmission & Distribution, Associate Editor for the IEEE Trans. on Smart Grid, Chair of the IEEE Task Force AISR, and as a member of the Steering Committee and PES representative for IEEE DataPort.
"About the title" may belong to another edition of this title.
Biblios
frankfurt am main, hessen, Germany
AbeBooks seller since September 10, 2024
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