Smart Grids for Renewable Energy Systems, Electric Vehicles and Energy Storage Systems - Tapa dura

Sinopsis

This comprehensive reference text discusses simulation with case studies and realworld applications related to energy system models, the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems. The text covers analysis and modeling of the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems. It further discusses economic aspects useful for policy makers and industrial professionals. It covers important topics, including smart grids architectures, wide-area situational awareness (WASA), energy management systems (EMS), demand response (DR), smart grid standardization exertions, virtual power plants, battery degradation modeling, optimization approaches in modeling, and smart metering infrastructure.

The book:

• Discusses the analysis and modeling of the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems
• Covers issues and challenges encountered in the large-scale integration of electric vehicles, energy storage systems and renewable energy systems into future smart grid design
• Provides simulation with case studies and real-world applications related to energy system models, electric vehicles, and energy storage systems
• Discusses the integration of large renewable energy systems, with the presence of a large number of electric vehicles and storage devices/systems

Discussing concepts of smart grids, together with the deployment of electric vehicles, energy storage systems and renewable energy systems, this text will be useful as a reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies. It further discusses topics, including electric grid infrastructure, architecture, interfacing, standardization, protocols, security, reliability, communication, and optimal control.

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