| Summary: | As the complexity of power systems and the challenges posed by uncertainty continue to evolve, identifying promising areas for further investigation becomes essential to improve decision-making processes and enhance the resilience and efficiency of power systems. The objective of this paper is to offer a comprehensive overview of the existing methods used for modeling and optimization of problems that are affected by uncertainty, with a specific focus on the context of power systems. Furthermore, this paper delves into the examination of significant challenges and applications where optimization plays a crucial role in power systems. By exploring real-world use cases, it sheds light on the practical implications of these methods and their potential benefits for power system operation and planning. Additionally, the paper provides a glimpse into the future by outlining potential research directions in this field. © 2023 IEEE.
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