Self-Healing Control for Unbalanced Active Distribution Networks

Theory and Applications of State Estimation and Fault Recovery
Erscheinungsjahr 2027
ISBN: 978-981-9267-71-2
Verlag: Springer

Buch, Englisch, 213 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Smart Energy Systems

This book investigates innovative methodologies for enhancing the self-healing capabilities of active distribution networks (ADNs), which are pivotal in modern power systems with high integration of distributed energy resources. Readers will find particular interest in the comprehensive coverage of optimal real-time meter placement for state estimation (SE) considering system observability, interval SE to address uncertainties in photovoltaic and wind power outputs, multi-area probabilistic forecasting-aided interval SE for false data injection attack (FDIA) identification that handles measurement uncertainties and line parameter variations, single-phase ground fault line identification based on linear SE, and robust dynamic fault restoration models that account for injection power variability. These approaches tackle critical issues such as measurement optimization, uncertainty quantification, power data security and fault recovery robustness, offering practical solutions through detailed mathematical formulations and algorithmic implementations. The book incorporates illustrative diagrams, such as network architectures and optimization workflows, to facilitate comprehension. A key benefit is the empowerment of practitioners with tools to improve grid reliability, operational efficiency, and resilience against attacks and disturbances. This book primarily targets power system engineers, researchers, and graduate students focused on smart grid technologies and distribution automation.

Zielgruppe

Research

Autoren/Hrsg.

Xu, Junjun

Wu, Zaijun

Yu, Xinghuo

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

Overview of Self Healing Control for Unbalanced Distribution Networks.- Background and Significance.- State of the Art.

Über Autor(innen)

Dr. Junjun Xu received the B.Eng. degree in Power System and Its Automation from Nanjing Institute of Technology, Nanjing, China, in 2012, the M.Eng. degree in Agricultural Electrification and Automation from Jiangsu University, Zhenjiang, China, in 2015, and the Ph.D. degree in Electrical Engineering from Southeast University, Nanjing, China, in 2019. He served as a Visiting Scholar at Royal Melbourne Institute of Technology (RMIT University), Melbourne, Australia, from January 2018 to January 2019. He is currently an Associate Professor and Director of the Department of Electrical Engineering at Nanjing University of Posts and Telecommunications (NJUPT), Nanjing, China. Dr. Xu focuses on the research of distribution network situation awareness and optimal operation, as well as cyber-physical system resilience. Since entering the academic circle, he has published more than 30 technical papers indexed by SCI/EI, and presided over a number of research projects, including the National Natural Science Foundation of China. Dr. Xu was selected into the 2021 Jiangsu Province “Double Innovation Doctor” Talent Funding Program and serves as an Editorial Board Member of Protection and Control of Modern Power Systems (PCMP), a Q1 SCI journal of the Chinese Academy of Sciences. 

Prof. Zaijun Wu received the B.Eng. degree in Power System and Its Automation from Hefei University of Technology, Hefei, China, in 1996, and the Ph.D. degree in Electrical Engineering from Southeast University, Nanjing, China, in 2004. He was a Visiting Scholar at The Ohio State University, USA, from 2012 to 2013. He is currently a Professor, Ph.D. Supervisor, and Director of the Department of Human Resources at Southeast University.

Prof. Wu has long been engaged in research on distributed generation and microgrids, distribution network control and protection. He is a recipient of the New Century Excellent Talents in University of the Ministry of Education, a winner of the Baosteel Excellent Teacher Award, a member of the National Technical Committee for Standardization of Power System Management and Its Information Exchange (SAC/TC82), and a member of the National Technical Committee for Standardization of Microgrids and Distributed Power Grid Connection (SAC/TC564). His research achievements have won the First Class Award of Jiangsu Provincial Science and Technology, the Second Class Award of Science and Technology Progress of China Electrotechnical Society, and the First Class Award of Science and Technology Progress of State Grid Corporation of China.

Prof. Xinghuo Yu received the B.Eng and M.Eng degrees in electrical engineering from the University of Science and Technology of China, Hefei, China, in 1982 and 1984, and the Ph.D. degree in control science and engineering from Southeast University, Nanjing, China, in 1988, respectively. He is currently a Distinguished Professor and an Associate Deputy Vice-Chancellor with the Royal Melbourne Institute of Technology (RMIT University), Melbourne, VIC, Australia.

Prof. Yu specialises in electrical and electronic engineering, and he is passionate about making an impact through his fundamental and applied research. He is a Fellow of the Australian Academy of Science, an Honorary Fellow of Engineers Australia, and a Fellow of the IEEE, International Federation of Automatic Control (IFAC), Australian Computer Society (ACS), and Australian Institute of Company Directors (AICD). He was an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, and several other journals.