Abstract: With the promotion of energy transformation, the penetration of renewable energy and novel load is continuously increasing, which brings great challenges to the security and economic operation of the power system. Accurate modeling of the uncertain factors in the power system is the basis of ensuring the safe and stable operation of the new generation power system. The key to promoting the development of uncertain optimization in power systems is modeling of uncertain factors using the temporal scenario generation and the reduction methods. The methods of scenario generation and scenario reduction are thoroughly discussed in this paper. To begin with, the fundamental concepts of scenario generation in power systems are presented from the standpoints of the research objects and a mathematical problem. Secondly, the existing research methods, evaluation indexes and typical application scenarios of the scenario generation and reduction in the power system are summarized. Finally, the problems existing in the current researches are induced, and the future development trends and challenges are prospected.