ORCID

https://orcid.org/0009-0004-2613-8996

Keywords

Power system resilience, power system cybersecurity, hydrogen energy storage, long duration energy storage, power system restoration, distributed energy resources

Subject Categories

Electrical and Computer Engineering | Power and Energy | Systems Engineering

Abstract

Modern power systems are rapidly evolving into renewable-dominated and digitally interconnected cyber-physical infrastructures due to the increasing deployment of distributed energy resources (DERs), inverter-based technologies, and advanced control platforms. Maintaining reliability under high renewable penetration requires flexible resources capable of shifting energy across extended time horizons. Long-duration energy storage (LDES), particularly hydrogen-based energy systems, has therefore emerged as an important enabler of renewable integration, grid flexibility, and resilience. However, the growing dependence on communication, sensing, and distributed control also expands the cyber-physical attack surface of modern power systems, creating security and resilience challenges that conventional operational paradigms were not designed to address. This dissertation investigates the secure and resilient operation of future cyber-physical power systems through an integrated framework that connects vulnerability analysis, cybersecurity assessment of hydrogen-integrated energy systems, LDES operation, and adaptive restoration. The research first examines cyber-physical vulnerabilities introduced by high DER penetration and characterizes emerging attack surfaces associated with distributed control and communication networks. It then analyzes cybersecurity risks in hydrogen-integrated energy infrastructures, demonstrating how cyber intrusions targeting hydrogen subsystems can propagate across interconnected energy networks. Building on these insights, a tri-level attack-defense optimization framework is developed to capture the strategic interaction among attackers, defenders, and system operators in hydrogen-integrated power systems while enforcing cyber-physical feasibility constraints. To enhance operational resilience, the dissertation further develops a unified multi-service optimization framework for LDES that co-optimizes economic operation and resilience-oriented services, including energy arbitrage, capacity adequacy, and blackout recovery support. Finally, an energy-state-driven adaptive restoration framework is proposed to regulate restoration decisions based on real-time energy availability of distributed storage resources. Together, these contributions establish analytical foundations and operational methodologies for secure, resilient, and energy-aware operation of renewable-rich cyber-physical power systems.

Completion Date

2026

Semester

Summer

Committee Chair

Sun, Wei

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering and Computer Science

Department

Electrical and Computer Engineering

Format

PDF

Document Type

Dissertation

Language

English

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