SS 12
The rapid transition toward low-carbon energy systems is driving the large-scale integration of diverse renewable and emerging energy carriers, including wind, solar, hydrogen, and energy storage. These renewable energy systems are inherently characterized by multi-source variability, operational uncertainty, and complex interactions across different energy domains.
Meanwhile, renewable energy systems are increasingly interconnected with other critical infrastructures, such as transportation, aerospace, and industrial systems. This cross-domain integration, together with the growing penetration of power electronic devices and digital technologies, significantly increases system complexity and introduces new challenges in reliability, safety, and coordinated operation.
In addition, renewable energy systems are exposed to a wide range of uncertainties and disturbances, including stochastic resource fluctuations, component degradation, extreme weather events, and cyber-physical threats. Ensuring reliable and resilient operation under such conditions has therefore become a critical challenge.
Addressing these challenges requires advanced methodologies in reliability analysis, uncertainty quantification, resilience assessment, and Prognostics and Health Management (PHM). In particular, integrating component-level health awareness with system-level resilience enhancement is essential to enable adaptive, condition-aware, and risk-informed operation of renewable energy systems.
This Special Session aims to provide a platform for researchers and practitioners to present recent advances in reliability, resilience, and PHM-oriented methodologies for renewable energy systems under uncertainty, covering both theoretical developments and real-world applications.
Topics of interest include, but are not limited to:
- - Reliability modeling and assessment of renewable energy systems
- - Resilience evaluation under uncertainty and extreme events
- - Risk assessment and uncertainty quantification
- - PHM, including condition monitoring, fault diagnosis, and RUL prediction
- - Reliability of renewable generation, hydrogen, storage, and power electronic systems
- - Cyber-physical reliability and security
- - Data-driven and physics-informed approaches
- - Lifecycle management and maintenance optimization
