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Adaptive Switching Control of Large-Scale Complex Power Systems de Yang Liu

Adaptive Switching Control of Large-Scale Complex Power Systems: Power Systems

Autor Yang Liu, Qing-Hua Wu
en Limba Engleză Hardback – mai 2023
This book presents the latest research on switching control, adaptive switching control, and their applications in the transient stability control and analysis of large-scale complex power systems. In large-scale complex power systems, renewable power generators, flexible power electronics converters, and distributed controllers are widely employed. Due to the poor overcurrent tolerance capability of power electronics converters and lacking of coordination mechanism, stability control in events, such as natural disasters, cascaded faults, and severe disturbances, is viewed as the key challenge in the operation of these systems. High-performance self-coordinated controllers are needed for the control of important power sources and power electronics converters. Adaptive switching controllers are a group of controllers designed by the authors for the control of various renewable power generators, synchronous generators, and modular multilevel converters. These controllers operate in a self-coordinated manner and aim to employ the largest transient control energy of converters and power sources. Imbalance between power generation and consumption is largely filled by the application of these controllers, and transient stability of power systems can be significantly improved. This book covers both the preliminary knowledge and key proofs in the design and stability analysis of adaptive switching control systems, and considerable simulation and experimental results are presented to illustrate the application and performance of the controllers. This book is used as a reference book for researchers and engineers in fields of electrical engineering and control engineering.
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Specificații

ISBN-13: 9789819910380
ISBN-10: 9819910382
Pagini: 208
Ilustrații: XVIII, 190 p. 93 illus., 67 illus. in color.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.52 kg
Ediția:2023
Editura: Springer
Colecția Power Systems
Seria Power Systems

Locul publicării:Singapore, Singapore

Cuprins

Chapter 1 Switching control of disturbed nonlinear systems based on robust bang-bang funnel controller.- Chapter 2 Coordinated switching control of synchronous generators for transient stability.- Chapter 3 Switching power systems stabilizer and its coordination for stability enhancement.- Chapter 4 Coordinated multi-loop switching control of DFIG for resilience enhancement of WPPS.- Chapter 5 Frequency control of DFIG based WPPS using switching angle controller and AGC.- Chapter 6 Switching fault ride-through of GSCs via observer-based bang-bang funnel control.- Chapter 7 Fault ride-through hybrid control of MMC-HVDC via BBFC-based SCU.- Chapter 8 Bang-bang funnel control of three-phase full-bridge inverter under dual-buck scheme.- Chapter 9 State-dependent switched energy functions of DFIG-based WPGS.

Notă biografică

Jiayue Sun received the Ph.D. degree in power electronics and power transmission from Northeastern University in Shenyang, China, under the supervision of IEEE Fellow Huaguang Zhang, in 2021. She is a postdoctoral fellow under Tianyou Chai (a member of the Chinese Academy of Engineering, IEEE Life Fellow), in the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University. She is currently a Teacher with Northeastern University. She has authored or coauthored 40 peer-reviewed international journal papers. Her current research interests include optimization of complex industrial processes, intelligent adaptive learning, and distributed control of multiagent systems.
Dr. Sun is a member of the Institute of Electrical and Electronics Engineers (IEEE), the Chinese Association of Automation (CAA) and Chinese Association for Artificial Intelligence (CAAI), where she works as the Intelligent Adaptive Cooperative Optimization Control Committee's Vice Secretary-General.
Shun Xu received the B.S. degree in clinical medicine, the M.S. degree in surgery, and the Ph.D. degree in thoracic surgery from China Medical University, Shenyang, China, in 1987, 1990, and 1995, respectively. He studied in Japan from 1994 to 1996. He is a chief physician, director of thoracic surgery, and director of the Lung Cancer Research Laboratory at China Medical University's Cancer Institute. He is also a national second-level professor and a doctoral supervisor. He has presided over and participated in a number of national, provincial, and ministerial level research works. His research interests include applications of reinforcement learning, convolution neural network, and pattern recognition in medical image, especially for diagnosis of lung cancer, esophageal cancer, and other thoracic tumors.
Dr. Xu has been awarded the State Council Special Allowance from the State Council. He is a member of the ThoracicCardiovascular Surgery Branch Committee of the Chinese Medical Association. He serves as the chairman of the Thoracic Surgery Branch Committee of the Liaoning Medical Association.
Yang Liu is a medical doctor specializing in thoracic surgery. He holds the positions of associate professor, associate chief physician, and master's supervisor for graduate students. He has authored numerous articles in both national and international medical journals, focusing on the topics of lung cancer and tumors. His research interests include reinforcement learning, adaptive dynamic programming, neural networks, and their applications in diagnosing lung diseases.
Dr. Liu is a member of the Cell Biology Cardiopulmonary Rehabilitation Committee in Liaoning Province. His primary research area revolves around standardized treatment for lung cancer and mediastinal tumors. He has led a youth fund of the National Natural Science Foundation of China, and has also participated in the National Natural Science Foundation of China (General Project). Additionally, he serves as an expert for the National Natural Science Foundation Committee.
Huaguang Zhang received the B.S. and M.S. degrees in control engineering from the Northeast Dianli University of China, Jilin City, China, in 1982 and 1985, respectively, and the Ph.D. degree in thermal power engineering and automation from Southeast University, Nanjing, China, in 1991. He joined the Department of Automatic Control, Northeastern University, Shenyang, China, in 1992, as a Postdoctoral Fellow, for two years, where he has been a Professor and the Head of the Institute of Electric Automation, College of Information Science and Engineering since 1994. He has authored or coauthored over 200 journal and conference papers and four monographs and has co-invented 20 patents. His current research interests include fuzzy control, stochastic-system control, neural-network-based control, nonlinea

Textul de pe ultima copertă

This book presents the latest research on switching control, adaptive switching control, and their applications in the transient stability control and analysis of large-scale complex power systems. In large-scale complex power systems, renewable power generators, flexible power electronics converters, and distributed controllers are widely employed. Due to the poor overcurrent tolerance capability of power electronics converters and lacking of coordination mechanism, stability control in events, such as natural disasters, cascaded faults, and severe disturbances, is viewed as the key challenge in the operation of these systems. High-performance self-coordinated controllers are needed for the control of important power sources and power electronics converters. Adaptive switching controllers are a group of controllers designed by the authors for the control of various renewable power generators, synchronous generators, and modular multilevel converters. These controllers operate in a self-coordinated manner and aim to employ the largest transient control energy of converters and power sources. Imbalance between power generation and consumption is largely filled by the application of these controllers, and transient stability of power systems can be significantly improved. This book covers both the preliminary knowledge and key proofs in the design and stability analysis of adaptive switching control systems, and considerable simulation and experimental results are presented to illustrate the application and performance of the controllers. This book is used as a reference book for researchers and engineers in fields of electrical engineering and control engineering.

Caracteristici

Is the first book available on adaptive switching control of power systems Offers preliminary knowledge and key proofs in the design and stability analysis of adaptive switching control systems Includes over 10 specific examples of application of adaptive switching controllers in core components of power systems