Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition
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Introduction
1. Enhancing Resilience of Power Transmission Systems Against Typhoon Disasters: A Hybrid Data-Model Driven Approach
2. Reliability of Power Electronics in Smart Grids
3. Electricity distribution grids resilience enhancement by network reconfiguration
4. Teaching learning-based optimized artificial neural network for predicting the maximum power point of a large-scale grid-connected solar PV system
5. A reliable PV system based on FPPT implementation incorporating forecasted load demand using Neural Network
6. Robust Stabilization Ellipsoidal Design for Normal and Contingency Operated Power Systems Using Markov Jump
7. From Review to Revolution: Innovative Under-Frequency Load Shedding for Enhanced Power System Resilience
8. Fault Detection and Classification in Hybrid AC/DC Systems Using Artificial Neural Networks
9. A Reliability Constrained Load Balancing Procedure for Neutral Current Reduction in Distribution Systems
10. The impact of cyber network configuration on the dynamic-thermal failure of transformers considering distributed generator controller
11. Operation of Energy Hub to Enhance Power System Resilience
12. Resilient Operation of Power and Gas Networks to Service Restoration
13. Challenges and Solutions in Power Sharing Control of Microgrids with Integrated Renewable Energy Sources
14. Statistical Analysis of Supervisory Control and Data Acquisition System for Maintenance Management of Photovoltaic Solar Power Plant
15. Small-Signal Stability Analysis and Compensation Control for DC Networked-Microgrid under Multiple Time Delays
16. Multiplexing Power Supply Networks with DC Sub-Grid: Control Strategy and Economic Impact Assessment
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Prepares the researcher, student, or engineer to employ the latest artificial intelligence techniques to design and maintain reliable, resilient energy systems
Provides a foundation with the fundamental principles and strategies for reliability and resilience
Introduces the readers to a toolbox of AI methodologies with a variety of applications
Leverages clear chapter objectives, worked problems, and detailed case studies to support real-world solution-building
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Produktdetaljer
ISBN
9780443247224
Publisert
2026-01-19
Utgiver
Elsevier - Health Sciences Division
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
300