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Fuzzy Logic Control in Energy Systems, 2nd Edition With design examples in Matlab®/Simulink® (Energy Engineering) - Tapa dura
Sinopsis
Fuzzy models have the capability of recognising, representing, and working with data that is vague or lacks certainty, making them suitable for managing electrical energy systems involving intermittent distributed generation and varying distributed loads.
The second edition of Fuzzy Logic Control in Energy Systems has been revised and updated with new topics including shade and integration issues in PV, microgrids, cybersecurity in power systems, and day-ahead estimation of sun and wind data. Starting with a review of fuzzy logic, chapters cover fuzzy sets and partitioning, fuzzy decision making, fuzzy logic controllers (FLC), and system modelling and control. The application of FLC in power systems, wind energy, PV energy systems and microgrids is then explored.
Several examples of fuzzy logic control and management are discussed including DC motor control, multi area load-frequency control, and wind and PV energy management. The book presents a fuzzy logic controller design in Matlab-Simulink enabling the reader to study every step and to develop their own fuzzy processor library and toolbox.
Providing thorough and logical coverage of fuzzy logic control and its use in energy systems, this book provides valuable insights for researchers and practicing engineers involved with power system design and control, grid operators, PV and wind turbine manufacturers, as well as advanced students in EE.
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Acerca del autor
İsmail Hakkı Altaş is a professor at the Department of Electrical and Electronics Engineering of Karadeniz Technical University, Türkiye. He obtained his PhD degree from the University of New Brunswick, Canada. He is a Senior member of the IEEE and member of the IEEE Power & Energy, Industrial Electronics, Industry Applications, Power Electronics, Control Systems and Systems, Man, and Cybernetics Societies. His research interests include intelligent control of power systems, utilization of renewable energy and electrical microgrids.
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Fuzzy Logic Control in Energy Systems : With Design Examples in Matlab/Simulink ®
Publicado por
The Institution of Engineering and Technology, 2024
ISBN 10: 1839538821
ISBN 13: 9781839538827
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Fuzzy Logic Control in Energy Systems: With design examples in MATLAB®/Simulink® (Energy Engineering)
Publicado por
The Institution of Engineering and Technology, 2024
ISBN 10: 1839538821
ISBN 13: 9781839538827
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Fuzzy Logic Control in Energy Systems: With design examples in MATLAB®/Simulink® (Energy Engineering)
Publicado por
The Institution of Engineering and Technology, 2024
ISBN 10: 1839538821
ISBN 13: 9781839538827
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Fuzzy Logic Control in Energy Systems : With Design Examples in Matlab/Simulink ®
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The Institution of Engineering and Technology, 2024
ISBN 10: 1839538821
ISBN 13: 9781839538827
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Fuzzy Logic Control in Energy Systems: With design examples in MATLAB®/Simulink® (Energy Engineering)
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The Institution of Engineering and Technology, 2024
ISBN 10: 1839538821
ISBN 13: 9781839538827
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Fuzzy Logic Control in Energy Systems
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ISBN 10: 1839538821
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Fuzzy Logic Control in Energy Systems : With Design Examples in Matlab/Simulink ®
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The Institution of Engineering and Technology, 2024
ISBN 10: 1839538821
ISBN 13: 9781839538827
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Fuzzy Logic Control in Energy Systems
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Institution of Engineering and Technology, 2024
ISBN 10: 1839538821
ISBN 13: 9781839538827
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Fuzzy Logic Control in Energy Systems : With Design Examples in Matlab/Simulink ®
Publicado por
The Institution of Engineering and Technology, 2024
ISBN 10: 1839538821
ISBN 13: 9781839538827
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Hardcover. Condición: new. Hardcover. Fuzzy models have the capability of recognising, representing, and working with data that is vague or lacks certainty, making them suitable for managing electrical energy systems involving intermittent distributed generation and varying distributed loads.The second edition of Fuzzy Logic Control in Energy Systems has been revised and updated with new topics including shade and integration issues in PV, microgrids, cybersecurity in power systems, and day-ahead estimation of sun and wind data. Starting with a review of fuzzy logic, chapters cover fuzzy sets and partitioning, fuzzy decision making, fuzzy logic controllers (FLC), and system modelling and control. The application of FLC in power systems, wind energy, PV energy systems and microgrids is then explored.Several examples of fuzzy logic control and management are discussed including DC motor control, multi area load-frequency control, and wind and PV energy management. The book presents a fuzzy logic controller design in Matlab-Simulink enabling the reader to study every step and to develop their own fuzzy processor library and toolbox.Providing thorough and logical coverage of fuzzy logic control and its use in energy systems, this book provides valuable insights for researchers and practicing engineers involved with power system design and control, grid operators, PV and wind turbine manufacturers, as well as advanced students in EE. The new edition of this reference on fuzzy logic for energy systems offers a review of fuzzy logic, and examples in Matlab-Simulink. The new edition covers new topics like shading in PV, and day-ahead estimation of sun and wind data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781839538827
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