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Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
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2016 | Buch

Electric Machines and Power Electronics Kapitel lesen Erstes Kapitel lesen

Intelligent Renewable Energy Systems

Modelling and Control

verfasst von: Gerasimos Rigatos

Verlag: Springer International Publishing

Buchreihe : Green Energy and Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained.
The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed:
• Modeling and control of power generators (PMSGs, DFIGs);• Modeling and control of power electronics (converters, inverters); • Modeling and fault diagnosis of the transmission and distribution Grid; and<• Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units).
Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Electric Machines and Power Electronics
Abstract
The chapter overviews the basic components of renewable energy systems, such as (i) power generators (PMSG, DFIG, multi-phase machines, and Doubly-Fed Reluctance machines), (ii) power electronics for connecting generators to the grid (DC to AC inverters, AC to DC and DC to DC converters, active power filters, power transformers).
Gerasimos Rigatos
Chapter 2. Control of the Functioning of Doubly-Fed Induction Generators
Abstract
The chapter analyzes nonlinear control for Doubly-fed induction generators, through different approaches: (i) flatness-based control in cascading loops, (ii) flatness-based control through transformation to the canonical form, (iii) differential geometry-based control, (iv) nonlinear H-infinity control, (v) flatness-based adaptive control (vi) field orientation and backstepping control.
Gerasimos Rigatos
Chapter 3. Control of the Functioning of Synchronous Generators
Abstract
The chapter analyzes different approaches for nonlinear control of synchronous generators: (i) flatness-based control through transformation to the canonical form, (ii) flatness-based control in cascading loops, (iii) stabilizing control of synchronous power generators in the s-frequency domain.
Gerasimos Rigatos
Chapter 4. Control of the Functioning of Multiphase Electric Machines
Abstract
The chapter analyzes different approaches for nonlinear control of multi-phase electric machines: (i) H-infinity control of multi-phase synchronous electric machines, (ii) H-infinity control of doubly-fed reluctance machines, (iii) flatness-based adaptive control of doubly-fed reluctance machines.
Gerasimos Rigatos
Chapter 5. Control of the Functioning of DC to DC and AC to DC Converters
Abstract
The chapter analyzes different approaches for nonlinear control of AC to DC converters (rectifiers): (i) flatness-based control through transformation to the canonical form, (ii) differential geometry-based control, (iii) nonlinear H-infinity control. Moreover, the chapter presents flatness-based control for the HVDC-VSC transmission system.
Gerasimos Rigatos
Chapter 6. Control of the Functioning of DC to AC Converters
Abstract
The chapter analyzes different approaches for nonlinear control of DC to AC converters (inverters): (i) flatness-based control through transformation to the canonical form, (ii) differential geometry-based control. Moreover, the chapter presents flatness-based control and nonlinear H-infinity control for DC to DC converters. Finally the chapter analyzes adaptive control of active power filters.
Gerasimos Rigatos
Chapter 7. Control of Fuel Cells and Batteries
Abstract
The chapter analyzes flatness-based control for proton exchange membrane (PEM) fuel cells. Additionally it gives results on nonlinear H-infinity control of PEM fuel cells. Moreover, it proposes flatenss-based control for the PDE model of the Li-ions batteries.
Gerasimos Rigatos
Chapter 8. Synchronization and Stabilization of Distributed Power Generation Units
Abstract
The chapter analyzes synchronization and stabilization for distributed power generation units. First, the problem of stabilization and synchronization is solved for a model of distributed interconnected synchronous power generators with the used of flatness-based control. Next, the problem of stabilization and synchronization of the distributed synchronous generators is solved with the use of flatness-based adaptive control. Moreover, the problem of decentralized control and synchronization is solved for a model of distributed interconnected DC power power generation units photovoltaics.
Gerasimos Rigatos
Chapter 9. Condition Monitoring and Fault Diagnosis for Electric Power Generators
Abstract
The chapter analyzes condition monitoring and fault diagnosis for electric power generators with the following approaches: (i) fault diagnosis in the time domain for distributed interlinked synchronous generators and with the use of the local statistical approach to fault diagnosis, (ii) fault diagnosis for asynchronous generators and with the use of neural networks having activation functions that remain invariant to the Fourier transform, (iii) fault diagnosis in the time domain for synchronous generators and with the use of nonlinear filtering methods
Gerasimos Rigatos
Chapter 10. Condition Monitoring of the Electric Power Transmission and Distribution System
Abstract
The chapter analyzes condition monitoring and fault diagnosis for components of the electric power transmission and distribution system. First, neural modelling and the local statistical approach to fault diagnosis is used for incipient fault detection and isolation in power transformers. Next, the chaapter proposes distributed nonlinear filtering for condition monitoring of the power distribution system and for the detection of changes in the quality of the provided electric power (voltage sags, change of harmonics, etc.).
Gerasimos Rigatos
Backmatter
Metadaten
Titel
Intelligent Renewable Energy Systems
verfasst von
Gerasimos Rigatos
Copyright-Jahr
2016
Electronic ISBN
978-3-319-39156-4
Print ISBN
978-3-319-39154-0
DOI
https://doi.org/10.1007/978-3-319-39156-4