Utvidet returrett til 31. januar 2025

Bøker av Qing-Hua Wu

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  • av Qing-Hua Wu
    1 340,-

    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.

  • - Planning and Operation
    av Qing-Hua Wu, Xiaoxin Zhou, Jiehui Zheng & m.fl.
    1 564,-

    This book discusses key issues in the planning and operation of large-scale integrated energy systems (LSIES). It establishes individual-based models for LSIES and develops multi-objective optimization algorithms and multi-attribute decision making support systems, which are applied to the planning and optimal operation of LSIES.

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