Photovoltaic-storage-charging microgrids (PSCMs) are being increasingly deployed in extreme environments

including desert

polar

coastal and high-altitude regions

to provide a reliable and sustainable power supply. However

these harsh environments significantly accelerate the degradation of photovoltaic arrays

battery storage systems and electric vehicle charging infrastructures. Effectively managing PSCMs under these conditions requires energy management systems with control strategies that explicitly account for environment-dependent degradation dynamics. This paper provides a comprehensive review of degradation-aware energy management for PSCMs operating in extreme environments. First

extreme operating environments are classified using quantitative thresholds

and their specific degradation effects on PSCM components are systematically analysed. Next

degradation modelling approaches comprising analytical models

data-driven approximations and physics-informed enhancements are reviewed and compared. Current energy management strategies

ranging from model-based methods to data-driven reinforcement learning and hybrid architectures

are then examined. Finally

future research directions are outlined

focusing on generalizable multi-stress degradation models

principled degradation-aware control frameworks and comprehensive datasets and digital twin testbeds.