Fuzzy Logic Control In Energy Systems With Design Applications In Matlab R Simulink R


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Advances in Energy Technology


Advances in Energy Technology

Author: Ramesh C. Bansal

language: en

Publisher: Springer Nature

Release Date: 2021-07-27


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This book presents select proceedings of International Conference on Energy, Material Sciences and Mechanical Engineering (EMSME) 2020, held at National Institute of Technology Delhi. Various topics covered in this book include clean materials, solar energy systems, wind energy systems, power optimization, grid integration of renewable energy, smart energy storage technologies, artificial intelligence in solar and wind system, analysis of clean energy material in environment, converter topology, modelling and simulation. This book will be useful for researchers and professionals working in the areas of solar material science, electrical engineering, and energy technologies.

Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®


Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®

Author: Ismail H. Altaş

language: en

Publisher: IET

Release Date: 2017-10-06


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This 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.

Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection


Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection

Author: Almoataz Y. Abdelaziz

language: en

Publisher: CRC Press

Release Date: 2021-10-22


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Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects. FEATURES Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues Presents an introduction to enhanced electricity system analysis using decision-making tools Covers AI applications in different protective relaying functions Discusses issues and challenges in the protection of transmission and distribution systems Includes a dedicated chapter on case studies and applications This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.