Modeling and Control of Static Converters for Hybrid Storage Systems

Modeling and Control of Static Converters for Hybrid Storage Systems

Arezki Fekik (Akli Mohand Oulhadj University, Bouira, Algeria) and Nacereddine Benamrouche (University of Tizi Ouzou, Algeria)
Release Date: September, 2021|Copyright: © 2022 |Pages: 355
DOI: 10.4018/978-1-7998-7447-8
ISBN13: 9781799874478|ISBN10: 1799874478|EISBN13: 9781799874492|ISBN13 Softcover: 9781799874485
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Description & Coverage
Description:

The energy transition initiated in recent years has enabled the growing integration of renewable production into the energy mix. Microgrids make it possible to maximize the efficiency of energy transmission from source to consumer by bringing the latter together geographically and by reducing losses linked to transport. However, the lack of inertia and the micro-grid support system makes it weak, and energy storage is necessary to ensure its proper functioning. Current storage technologies do not make it possible to provide both a large capacity of energy and power at the same time. Hybrid storage is a solution that combines the advantages of several technologies and reduces their disadvantages.

Modeling and Control of Static Converters for Hybrid Storage Systems covers the modeling, control theorems, and optimization techniques that solve many scientific problems for researchers in the field of power converter control for renewable energy hybrid storage and places particular emphasis on the modeling and control of static converters for hybrid storage systems. Covering topics ranging from energy storage to power generation, this book is ideal for automation engineers, electrical engineers, mechanical engineers, professionals, scientists, academicians, master's and doctoral students, and researchers in the disciplines of electrical and mechanical engineering.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive Energy Systems
  • Energy Management Systems
  • Energy Storage
  • Fuel Cells Energy Storage
  • Intelligent Control
  • Maximum PowerPoint Tracking
  • Power Generation
  • Power Quality Storage
  • Renewable Energy Control Systems
  • Smart Grids
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