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.
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 33 mm
Gewicht
ISBN-13
978-1-83953-882-7 (9781839538827)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Ismail Hakki Altas is a professor at the Department of Electrical and Electronics Engineering of Karadeniz Technical University, Tuerkiye. 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.
Autor*in
ProfessorKaradeniz Technical University, Department of Electrical and Electronics Engineering, Tuerkiye
Chapter 1: Introduction
Chapter 2: Fuzzy sets and fuzzy partitioning
Chapter 3: Fuzzy decision-making
Chapter 4: Fuzzy logic controller (FLC)
Chapter 5: System modeling and control
Chapter 6: FLC in power systems
Chapter 7: FLC in wind energy systems
Chapter 8: FLC in PV solar energy systems
Chapter 9: Microgrids and energy management
