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Hybrid Power Systems with Renewable Energy and Electric Vehicles, Volume 2

Springer

ISBN 978-3-032-42136-4

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ca. 213,99 €

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Bibliografische Daten

Fachbuch

Buch. Hardcover

2027

32 s/w-Abbildungen, 148 Farbabbildungen.

In englischer Sprache

Umfang: xii, 389 S.

Format (B x L): 15,5 x 23,5 cm

Verlag: Springer

ISBN: 978-3-032-42136-4

Weiterführende bibliografische Daten

Das Werk ist Teil der Reihe: Lecture Notes in Electrical Engineering

Produktbeschreibung

This book provides a comprehensive, research-driven overview of hybrid power systems that integrate renewable energy sources (RESs), energy storage systems (ESSs), and electric vehicles (EVs) into modern smart grids. It brings together cutting-edge advancements in energy technology, intelligent control, electric transportation, and grid modernization to address the operational, economic, and sustainability challenges facing today’s power sector. As nations accelerate decarbonization efforts, the book highlights practical strategies and emerging frameworks needed to support large-scale deployment of renewable energy and EV infrastructure. The book examines how high-penetration wind and solar systems interact with ESSs and EVs in both centralized and decentralized grid architectures. It explains the critical role of advanced power electronics, grid-interactive converters, and multilevel topologies in ensuring strong grid support, improved efficiency, and seamless integration. Readers gain insights into smart charging, vehicle-to-grid (V2G) technologies, battery life-cycle management, optimal siting of EV charging stations, and the use of stochastic and optimization methods to manage intermittency and load uncertainty. In addition, the book presents modern control, protection, and operational strategies for hybrid systems, covering energy management systems (EMS), distributed generation planning, voltage regulation, demand response, and grid stability under rapidly changing conditions. It emphasizes the transformative role of artificial intelligence, machine learning, Blockchain, big data analytics, and the Internet of Things (IoT) in advancing predictive maintenance, cyber-secure grid operation, autonomous decision-making, and future electric mobility markets.

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