Future Modern Distribution Networks Resilience examines the combined impact of low-probability and high-impact events on modern distribution systems’ resilience. Using practical guidance, the book provides comprehensive approaches for improving energy systems’ resilience by utilizing infrastructure and operational strategies. Divided in three parts, Part One provides a conceptual introduction and review of power system resilience, including topics such as risk and vulnerability assessment in power systems, resilience metrics, and power systems operation and planning. Part Two discusses modelling of vulnerability and resilience evaluation indices and cost-benefit analysis. Part Three reviews infrastructure and operational strategies to improve power system resilience, including robust grid hardening strategies, mobile energy storage and electric vehicles, and networked microgrids and renewable energy resources. With a strong focus on economic results and cost-effectives, Future Modern Distribution Networks Resilience is a practical reference for students, researchers and engineers interested in power engineering, energy systems, and renewable energy. – Reviews related concepts to active distribution systems resilience before, during, and after a sudden disaster- Presents analysis of risk and vulnerability for reliable evaluation, sustainable operation, and accurate planning of energy grids against low-probability and high-impact events- Highlights applications of practical metrics for resilience assessment of future energy networks- Provides guidance for the development of cost-effective resilient techniques for reducing the vulnerability of electrical grids to severe disasters
Mohammad Taghi Ameli & Sasan Azad
Future Modern Distribution Networks Resilience [EPUB ebook]
From Passive Operation to Strategic Active Paradigms
Future Modern Distribution Networks Resilience [EPUB ebook]
From Passive Operation to Strategic Active Paradigms
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Taal Engels ● Formaat EPUB ● ISBN 9780443160875 ● Editor Mohammad Taghi Ameli & Sasan Azad ● Uitgeverij Elsevier Science ● Gepubliceerd 2024 ● Downloadbare 3 keer ● Valuta EUR ● ID 9362780 ● Kopieerbeveiliging Adobe DRM
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