Abstract: Extreme weather, temperature fluctuations, and long-term changes in demand patterns are just a few of the previously unheard-of stresses that climate change brings to power systems. These occurrences jeopardize grid dependability, put traditional security measures to the test, and reveal weaknesses in operational procedures and infrastructure. This study examines the various ways that climate change affects the protection and dependability of power systems, highlighting the necessity of adaptive engineering techniques. Dynamic line rating (DLR), climate-integrated load forecasting, and adaptive protection schemes backed by machine learning and wide-area monitoring are important tactics. The review highlights important research gaps in probabilistic coordination, climate downscaling, and sensor trust while synthesizing recent developments. This work advances the development of climate-resilient power systems by coordinating technical innovation with resilience objectives.