| Titre : |
Artificial intelligence-based smart power systems |
| Type de document : |
texte imprimé |
| Auteurs : |
Sanjeevikumar Padmanaban, Éditeur scientifique ; Sivaraman Palanisamy, Éditeur scientifique ; Sharmeela Chenniappan, Éditeur scientifique ; Jens Bo Holm-Nielsen, Éditeur scientifique |
| Editeur : |
Piscataway, NJ : IEEE Press |
| Année de publication : |
2023 |
| Autre Editeur : |
Hoboken, NJ : Wiley |
| Importance : |
XXII, 378 p. |
| Présentation : |
ill. |
| Format : |
26 cm |
| ISBN/ISSN/EAN : |
978-1-119-89396-7 |
| Note générale : |
Ref. Bibliogr. en fin de chapitres. - Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Smart power grids
Artificial intelligence
Réseaux électriques intelligents
Intelligence artificielle |
| Index. décimale : |
004.89 Systèmes d'application d'intelligence artificielle. Systèmes basés sur la connaissance intelligente. |
| Résumé : |
Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies
Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years.
To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies. |
| Note de contenu : |
Summary :
1. Introduction to Smart Power Systems
2. Modeling and Analysis of Smart Power System
3. Multilevel Cascaded Boost Converter Fed Multilevel Inverter for Renewable Energy Applications
4. Recent Advancements in Power Electronics for Modern Power Systems-Comprehensive Review on DC-Link Capacitors Concerning Power Density Maximization in Power Converters
5. Energy Storage Systems for Smart Power Systems
6. Real-Time Implementation and Performance Analysis of Supercapacitor for Energy Storage
7. Adaptive Fuzzy Logic Controller for MPPT Control in PMSG Wind Turbine Generator
8. A Novel Nearest Neighbor Searching-Based Fault Distance Location Method for HVDC Transmission Lines
9. Comparative Analysis of Machine Learning Approaches in Enhancing Power System Stability
10. Augmentation of PV-Wind Hybrid Technology with Adroit Neural Network, ANFIS, and PI Controllers Indeed Precocious DVR System
11. Deep Reinforcement Learning and Energy Price Prediction
12. Power Quality Conditioners in Smart Power System
13. The Role of Internet of Things in Smart Homes
14. Electric Vehicles and IoT in Smart Cities
15. Modeling and Simulation of Smart Power Systems Using HIL
16. Distribution Phasor Measurement Units (PMUs) in Smart Power Systems
17. Blockchain Technologies for Smart Power Systems
18. Power and Energy Management in Smart Power Systems |
Artificial intelligence-based smart power systems [texte imprimé] / Sanjeevikumar Padmanaban, Éditeur scientifique ; Sivaraman Palanisamy, Éditeur scientifique ; Sharmeela Chenniappan, Éditeur scientifique ; Jens Bo Holm-Nielsen, Éditeur scientifique . - Piscataway, NJ : IEEE Press : Hoboken, NJ : Wiley, 2023 . - XXII, 378 p. : ill. ; 26 cm. ISBN : 978-1-119-89396-7 Ref. Bibliogr. en fin de chapitres. - Index Langues : Anglais ( eng)
| Mots-clés : |
Smart power grids
Artificial intelligence
Réseaux électriques intelligents
Intelligence artificielle |
| Index. décimale : |
004.89 Systèmes d'application d'intelligence artificielle. Systèmes basés sur la connaissance intelligente. |
| Résumé : |
Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies
Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years.
To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies. |
| Note de contenu : |
Summary :
1. Introduction to Smart Power Systems
2. Modeling and Analysis of Smart Power System
3. Multilevel Cascaded Boost Converter Fed Multilevel Inverter for Renewable Energy Applications
4. Recent Advancements in Power Electronics for Modern Power Systems-Comprehensive Review on DC-Link Capacitors Concerning Power Density Maximization in Power Converters
5. Energy Storage Systems for Smart Power Systems
6. Real-Time Implementation and Performance Analysis of Supercapacitor for Energy Storage
7. Adaptive Fuzzy Logic Controller for MPPT Control in PMSG Wind Turbine Generator
8. A Novel Nearest Neighbor Searching-Based Fault Distance Location Method for HVDC Transmission Lines
9. Comparative Analysis of Machine Learning Approaches in Enhancing Power System Stability
10. Augmentation of PV-Wind Hybrid Technology with Adroit Neural Network, ANFIS, and PI Controllers Indeed Precocious DVR System
11. Deep Reinforcement Learning and Energy Price Prediction
12. Power Quality Conditioners in Smart Power System
13. The Role of Internet of Things in Smart Homes
14. Electric Vehicles and IoT in Smart Cities
15. Modeling and Simulation of Smart Power Systems Using HIL
16. Distribution Phasor Measurement Units (PMUs) in Smart Power Systems
17. Blockchain Technologies for Smart Power Systems
18. Power and Energy Management in Smart Power Systems |
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