随着可再生能源渗透率的不断提高，电网互联程度显著增强，电力系统中随机变量数量与机组数量同步增加，导致机组组合问题的计算规模急剧上升，基于分支定界法的求解算法难以满足计算效率的实际需求。本文提出一种机组组合动态优先顺序法，通过揭示机组性能与约束作用规律之间的量化关系，识别必开机组与必停机组，减少机组状态的整数决策变量数，并排除机组组合问题迭代中的非最优路径，缩小问题的计算规模。在IEEE 118节点系统和ACTIVSg10k系统上的测试结果表明，所提方法能大幅提高机组排序的准确性，显著降低问题的计算规模，缩短问题的优化求解时间。

The increase in the proportion of renewable energy has led to a higher degree of grid interconnection, an increase in the number of random variables, and a greater number of generating units in unit commitment (UC) computation. Solving algorithms based on branch-and-bound methods can no longer meet the computational requirements for UC. This paper proposes a dynamic priority list approach that reveals the correlation between unit performance and constraint activation, and determine must-on and must-off units, thereby reducing the integer variables associated with the unit state and eliminating the majority of non-optimal iterative schemes to narrow the computation scale of the UC problem. A comparative case study is conducted on IEEE 118-bus system and ACTIVSg10k system. The results verify that the proposed method improves the accuracy of unit ranking, effectively reduces the scale of the UC problem, and reduces the computational time of problem optimization.