This book provides the insight of various topology and control algorithms used for power control in distributed renewable energy power conversion systems. It covers control algorithms of power filtering including modeling and simulations, and hybrid power generation system including adaptive/model predictive/fuzzy/AI based controllers.
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Paperback. Condición: new. Paperback. This book provides the insight of various topology and control algorithms used for power control in distributed energy power conversion systems such as solar, wind, and other power sources. It covers traditional and advanced control algorithms of power filtering including modelling and simulations, and hybrid power generation systems. The adaptive control, model predictive control, fuzzy-based controllers, Artificial Intelligence-based control algorithm, and optimization techniques application for estimating the error regulator gains are discussed. Features of this book include the following: Covers the schemes for power quality enhancement, and voltage and frequency control. Provides complete mathematical modelling and simulation results of the various configurations of the renewable energy-based distribution systems. Includes design, control, and experimental results. Discusses mathematical modelling of classical and adaptive control techniques. Explores recent application of control algorithm and power conversion.This book is aimed at researchers, professionals, and graduate students in power electronics, distributed power generation systems, control engineering, Artificial Intelligent-based control algorithms, optimization techniques, and renewable energy systems. This book provides the insight of various topology and control algorithms used for power control in distributed renewable energy power conversion systems. It covers control algorithms of power filtering including modeling and simulations, and hybrid power generation system including adaptive/model predictive/fuzzy/AI based controllers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781032134253
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