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A complete technical framework for demand-side flexibility integration
As renewable energy penetration increases, power systems require additional flexibility to maintain supply-demand balance. Demand-Side Flexible Resources presents a technical framework covering flexibility modeling of DFRs tailored to specific operational characteristics, flexibility aggregation of large-scale DFRs, machine learning-based forecasting techniques, and multiple dispatch and control strategies for real-time system response.
The book details flexibility aggregation with distribution network constraints and transmission-distribution coordination design, addressing both deterministic and probabilistic forecasting approaches for flexibility prediction alongside real-time flexibility activation. Coverage extends to modeling uncertainty of flexibility within dispatch operations, providing readers with strategies to coordinate DFR participation across interconnected grid levels.
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Designed for researchers and graduate students in power systems and renewable energy, this book also serves industry professionals in sustainability engineering, including engineers and policy makers seeking advanced methods for leveraging demand-side flexibility to support grid reliability and renewable integration.
Author: Zechun Hu,Yilin Wen
ISBN-10: 1394363680
ISBN-13: 9781394363681
Publisher: Wiley-IEEE Press
Language: English
Published: 05/03/2027
Pages: 272
Format: Hardcover
Zechun Hu is a Professor with the Department of Electrical Engineering at Tsinghua University, China, and a Senior Member of the IEEE. His research focuses on optimal planning and operation of power systems, electric vehicles, and energy storage systems. He received his PhD in Electrical Engineering from Xian Jiao Tong University, China.
Yilin Wen is a Lecturer with the School of Electrical and Electronic Engineering at North China Electric Power University, China, and a Member of the IEEE. His research interests include demand-side management, and integrated transmission and distribution systems. He received his PhD in Electrical Engineering from Tsinghua University, China.
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