Fuzzy Logic Control in Energy Systems with design applications in MATLAB®/Simulink®

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Ismail Hakki Altas (Professor, Karadeniz Technical University, Department of Electrical and Electronics Engineering, Turkey)

Fuzzy Logic Control in Energy Systems with design applications in MATLAB®/Simulink®

Ismail Hakki Altas (Professor, Karadeniz Technical University, Department of Electrical and Electronics Engineering, Turkey)

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English

Institution of Engineering and Technology
30 October 2017

Fuzzy set theory; Electrical engineering; Functional programming

Series: Energy Engineering

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® and in Matlab Simulink® 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.

By: Ismail Hakki Altas (Professor Karadeniz Technical University Department of Electrical and Electronics Engineering Turkey)
Imprint: Institution of Engineering and Technology
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781785611070
ISBN 10: 1785611070
Series: Energy Engineering
Pages: 520
Publication Date: 30 October 2017
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Replaced By: 9781839538827
Format: Hardback
Publisher's Status: Active

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

Ismail H. Altaş 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.