Interval Power Flow Analysis and Optimization Methods for Power Systems Under Uncertainties

Erscheinungsjahr 2027
ISBN: 978-981-9272-26-6
Verlag: Springer Nature Singapore

Buch, Englisch, 252 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Smart Energy Systems

This book focuses on interval-based approaches for power flow and optimal power flow analysis in power systems under uncertainties from renewable generation and load demand. It addresses both theoretical foundations and practical applications, supported by detailed figures and tables. In particular, this book systematically examines key challenges in uncertain power flow and optimal power flow, emphasizing issues of convergence, accuracy, efficiency, conservatism, and data correlation. A major feature is the application of interval theory to tackle high-dimensional and severe uncertainties, offering practical insights for the secure operation of modern power systems with high renewable penetration. This book is especially suited for readers interested in interval optimization and practical solutions to power system uncertainty challenges. It benefits researchers, engineers, and graduate students in power system analysis, planning, optimization, scheduling, and uncertainty modeling.

Zielgruppe

Research

Autoren/Hrsg.

Zhang, Cong

Liu, Qian

Wang, Dapeng

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure

Inhaltsverzeichnis

Introduction.- Interval Power Flow Models.- Accuracy-Enhanced Interval Power Flow With Improved Affine Arithmetic.- Interval Power Flow Analysis Through Optimizing-Scenarios Method.- Less Conservative Interval Power Flow Based on Central Limit Theorem.- High-Efficiency Interval Power Flow Analysis Based on Model Linearization.- Efficient Interval Reactive Power Optimization by Linear Approximation Method.- Intelligent Algorithm-Based Interval Reactive Power Optimization With Discrete Variables.- Conservatism-Reduced Interval Reactive Power Optimization by Security Limits Method.- Multi-time Reactive Power Optimization by Interval Sequential Quadratic Programming.- Efficient Interval Optimal Power Flow Method Coordinating Active and Reactive Power.

Über Autor(innen)

Cong Zhang (Senior Member, IEEE) received his Ph.D. in Electrical Engineering from South China University of Technology, Guangzhou, China, in 2018. Currently, he is working as an associate professor with the College of Electrical and Information Engineering, Hunan University, Changsha, China. His research interests include planning, scheduling, and operational control of modern power systems, uncertainty analysis, and security margin assessment and optimization. His research is supported by China National Natural Science Foundation and Smart Grid-National Science and Technology Major Project. He has published one monograph, over 70 journal and conference papers, more than 20 granted invention patents, and won a State Scientific and Technological Progress Award from the Ministry of Education of China. He is serving as a Guest Editor for SCI journals, including Protection and Control of Modern Power Systems and IEEE Access.

Qian Liu received the Ph.D. degree in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2026. He has contributed to high-impact peer-reviewed journals. He is currently a Researcher with the Energy Development Research Institute, Energy and Power Planning Laboratory, China Southern Power Grid Co., Ltd., Guangzhou, China. His research interests include power system operation and optimization, interval power flow analysis, and reactive power optimization incorporating uncertainties.

Dapeng Wang received the Ph.D. degree in electrical engineering from Hunan University, Changsha, China, in 2026. He is currently working as a Lecturer at the College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China. His research interests cover security analysis and optimization of renewable energy power systems.