Modern electrical power systems are facing complex challenges, arising from distributed generation and intermittent renewable energy. Fuzzy logic is one approach to meeting this challenge and providing reliability and power quality.
The book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems. The book incorporates a novel fuzzy logic controller design approach in both Matlab (R) and in Matlab Simulink (R) so that the user can study every step of the fuzzy logic processor, with the ability to modify the code.
Fuzzy Logic Control in Energy Systems is an important read for researchers and practicing engineers in energy engineering and control, as well as advanced students involved with power system research and operation.
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 239 mm
Breite: 160 mm
Dicke: 30 mm
Gewicht
ISBN-13
978-1-78561-107-0 (9781785611070)
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 H. Altas is a full time Professor at the Department of Electrical and Electronics Engineering of Karadeniz Technical University, Turkey. He is an IEEE Senior Member and serves on several IEEE committees and work groups. His research focus includes the application of fuzzy logic and intelligent control to various fields, in particular renewable energy and control of power systems.
Autor*in
ProfessorKaradeniz Technical University, Department of Electrical and Electronics Engineering, Turkey
Chapter 1: Introduction
Chapter 2: Fuzzy sets
Chapter 3: Fuzzy partitioning
Chapter 4: Fuzzy relation
Chapter 5: Fuzzy reasoning and fuzzy decision-making
Chapter 6: Fuzzy processor
Chapter 7: Fuzzy logic controller
Chapter 8: System modelling and control
Chapter 9: FLC in power systems
Chapter 10: FLC in wind energy systems
Chapter 11: FLC in PV solar energy systems
Chapter 12: Energy management and fuzzy decision-making