Transient stability constrained optimal power flow (TSCOPF) is able to effectively coordinate the dynamic security and operation economics for power systems. Focusing on existing technical difficulties, including low computational efficiency and high memory consumption, this paper proposes an active-set reduced-space sequential quadratic programming algorithm to solve this problem. This approach is able to take advantage of the characteristics of few degree of freedom in TSCOPF problems, in order to decrease the computational complexity. Meanwhile, active-set technique is introduced to reduce the dimensions of quadratic programming subproblems by filtering inactive inequality constraints and reducing computational demand. Compared with existing algorithms, case studies based on a series of test cases indicate the effectiveness of the proposed approach in solving TSCOPF problems for large-scale power systems.%暂态稳定约束最优潮流是实现电力系统动态安全性和运行经济性协调的一种有效方式。针对已有研究中求解算法计算效率低、内存使用量大等困难，提出使用有效集减空间逐次二次规划算法求解该问题。该方法能够利用暂态稳定约束最优潮流问题中低自由度的特点，显著降低计算复杂性。引入有效集方法，在求解二次规划子问题时滤除不起作用的不等式约束，缩减子问题维度，减少了计算量。基于一系列测试算例的分析结果表明，与已有算法相比，所提算法能够有效求解大规模电力系统的暂态稳定约束最优潮流问题。
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