高比例新能源发电带来的运行环境不确定性将显著增加离线稳控策略及其整定值的失配风险或运行成本。目前，快速自适应的在线策略制定尚无法在实际运行中完全替代离线策略制定流程，依靠规范化、自动化方法缩短离线稳控策略可靠更新周期势在必行。为此提出了一种基于随机-鲁棒混合整数规划的电网离线稳控策略定值规范化整定方法。不确定性参数按是否精准可信掌握概率分布被分为两类，分别采用随机规划和鲁棒规划方法予以应对；定值整定问题被规范为一个两分支的双层随机-鲁棒优化模型。所提出方法在南方电网某实际稳控系统算例中得到验证，可支撑日前时间尺度的策略定值规范更新。该方法对不确定运行环境下系统安全敏感且难以完全解析的离线决策，提供了一个通用的规范化、自动化改进技术框架。

The mismatch risk and operational cost of off-line stability control strategy and setting values will increase dramatically with high proportion new energy generation which impose uncertainty on power system operation. Given that the fast adaptive online configuration of control strategy cannot replace the off-line strategy formulation procedure in practice for the moment, reforming the off-line stability control strategy configuration by a normative and automatic procedure is inevitable. A normative setting approach of power system off-line stability control strategy based on stochastic-robust mixed integer programming is proposed. The uncertain parameters are divided into two categories according to whether their probability distribution can be credibly provided, and incorporated by stochastic and robust programming respectively; the setting problem is normalized as a dual-branch bi-level stochastic-robust optimization. The proposed approach is demonstrated on a real stability control strategy of China Southern Power Grid, and its efficiency to support daily update is verified. This proposed approach provides a general normalization and automation technical framework for the security-sensitive and simulation-based off-line decision problems in an uncertain operational environment.