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Future modern distribution networks resilience : from passive operation to strategic active paradigms /

This book explores the concept of resilience in modern electrical power distribution networks, transitioning from passive operation to strategic active paradigms. It provides an in-depth analysis of resilience measures, risk and vulnerability assessment, and the integration of electricity and gas sy...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Ameli, Mohammad Taghi (Editor)
Format: eBook
Language:English
Published: Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA : Elsevier, [2024]
Subjects:
Electric power distribution.
Electric power production.
Électricité > Production.
electric power production.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Future Modern Distribution Networks Resilience
  • Future Modern Distribution Networks Resilience: From Passive Operation to Strategic Active Paradigms
  • Copyright
  • Contents
  • Contributors
  • About the editors
  • 1
  • Introduction and literature review of resilience concept in power systems
  • 1.1 Introduction
  • 1.2 Resilience in power systems and its importance
  • 1.3 Understanding resilience
  • 1.4 Resilience curve
  • 1.4.1 Resilience triangle
  • 1.4.2 Resilience trapezoid
  • 1.5 Resilience measures
  • 1.5.1 Short-term resilience measures
  • 1.5.2 Long-term resilience measures
  • 1.6 Taxonomy of strategies employed for enhancement of power systems' resilience
  • 1.6.1 Preevent preparation
  • 1.6.2 Corrective actions and emergency response
  • 1.6.3 Restoration actions
  • 1.7 Conclusion
  • References
  • 2
  • Risk and vulnerability assessment in power systems: A comprehensive review of challenges and outlook
  • 2.1 Introduction
  • 2.2 Events causing vulnerability
  • 2.2.1 Cascading failure
  • 2.3 Conceptual framework for vulnerability assessment
  • 2.4 Time framework for vulnerability assessment
  • 2.5 Security/vulnerability boundary
  • 2.6 Vulnerability/risk indices
  • 2.7 Contribution of protection system in system vulnerability
  • 2.8 Cyber vulnerability
  • 2.9 Approaches for evaluating vulnerability/security
  • 2.9.1 Modeling and simulation approaches for vulnerability assessment
  • 2.9.1.1 Static security assessment
  • 2.9.1.2 Dynamic security assessment
  • 2.9.2 Probabilistic vulnerability assessment
  • 2.9.3 Data-driven approaches for vulnerability assessment
  • 2.9.3.1 Neural network application
  • 2.9.3.2 Support vector machine
  • 2.9.3.3 Decision tree
  • 2.9.4 Principle of training data for machine learning application
  • 2.9.4.1 Dataset generation
  • 2.9.4.2 Feature selection and extraction
  • 2.10 Remedial actions mitigating vulnerability
  • 2.11 Conclusions
  • References
  • 3
  • Resilience vs. reliability metrics in power systems: A conceptual overview
  • 3.1 Introduction
  • 3.2 On the concept of metrics
  • 3.2.1 Preliminaries
  • 3.2.2 Resilience metrics
  • 3.3 Resilience vs. reliability metrics: A comparison
  • 3.3.1 Challenges with resilience metrics
  • 3.3.2 Development of customer-centered metrics for reliability and resilience
  • 3.4 Classification of power system resilience metrics
  • 3.4.1 The first category: Reliability-based and nonreliability-based metrics
  • 3.4.2 The second category: Performance-based and nonperformance-based metrics
  • 3.5 Conclusions
  • Abbreviations
  • References
  • 4
  • A survey on the role of integrated electricity and gas systems for enhancing the resilience
  • 4.1 Introduction
  • 4.2 Concept of resilience in the IES
  • 4.2.1 Integrated electricity and natural gas system
  • 4.2.2 Resilience definition in integrated energy systems
  • 4.2.3 Increasing resilience in IES