Microgrid Cyberphysical Systems

Name: Microgrid Cyberphysical Systems
Brand: Elsevier - Health Sciences Division
SKU: 9780323999106
Price: 133.15 EUR
Availability: InStock

Автор: Bidyadhar Subudhi, Pravat Kumar Ray

Език:

Корици: С меки корици

Издател: Elsevier - Health Sciences Division

Наличност: Външен склад

Изпращаме след 10-18 дни

133.15 € 260.42 лв

Microgrid Cyberphysical Systems outlines the fundamental concepts on microgrid system design and con...

Информация за книгата

Автор

Bidyadhar Subudhi, Pravat Kumar Ray

Език

Английски език

Корици

Книга - С меки корици

Издадена

2022

страници

298

EAN

9780323999106

Enbook ID

36992377

Издател

Elsevier - Health Sciences Division

Теглоt

484

Размери

229 x 152 x 23

Пълно описание

Microgrid Cyberphysical Systems outlines the fundamental concepts on microgrid system design and control in a cyberphysical framework, focusing on the integration of renewables and EVs into microgrids. Taking an operational, control and management perspectives the volume aims to optimize the reliability and economic performance of microgrids, focusing on power quality, storage and voltage and frequency control. The work encompasses generation, transmission, protection, and load management under uncertainty, and discusses critical drivers in robustness, uncertainty and sustainability management. Focusing on applied implementations, chapters are supported by detailed methods, heavy figurative explication, and comparative and integrative analysis. Case studies range fully across chapters. Many chapters are supported by representative experimental or test bed validations of proposed algorithms or methods which can be directly applied to reader problems. Provides advanced controller methodologies to efficiently optimize the operation of microgrids with high levels of connected renewable generators and electric vehicles Explores powerful approaches for the prevention of cyberattacks in microgrid systems Addresses design issues for power quality filters suitable for microgrid robustness, uncertainty, and sustainability handling Replete with field-tested methods, heavy case studies and implementation focus with supporting experimental or test bed validations of proposed algorithms or methods in MATLAB

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