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.

Part 1: A conceptual introduction and review of power system resilience 1. Introduction and literature review of resilience concept in power systems 2. Resiliency challenges and opportunities in transiting from traditional networks to future modern energy grids 3. Risk and vulnerability assessment in power systems: A comprehensive review of challenges and outlook 4. A literature review of resilience metrics in power systems and their differences with reliability indices 5. A survey on the role of coordinating electricity and gas distribution systems for enhancing the power grid resilience 6. Power systems operation and planning: a literature review on smart resilience enhancement strategies Part 2: Modelling of vulnerability and resilience evaluation indices and cost-benefit analysis 7. Modelling of natural phenomena and extreme events in the study of power systems resilience 8. Vulnerability and risk modelling methods: A comprehensive framework from the resilience perspective 9. Resilience metrics: Assessment of distribution systems performance 10. Decision-making approach for power system resilience upgrades based on cost-benefit analysis 11. Cyber-constrained optimal power flow model for resilience enhancement of modern energy networks Part 3: Infrastructure and operational strategies to improve power system resilience 12. Robust grid hardening strategies for improving the resilience of electricity systems 13. Resiliency-oriented sustainable models for future renewable-based power systems 14. Improving power system resilience with mobile energy storage and electric vehicles 15. Resilient energy management: networked microgrids and renewable energy resource 16. Application of recovery techniques to enhance the resilience of energy systems 17. The role of machine learning in improving distribution systems resilience 18. Future perspectives and research areas for improving the power system resilience