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不同于现有的鲁棒机组组合，本章提出了基于大M法的MILP的风电区间可优化和可调节的安全约束机组组合。含大规模风电接入的电网，其所能消纳的风电出力区间受到电网备用容量和线路传输功率两方面约束。本文提出设置最优弃风限制以确定安全风电出力区间，保证电网备用容量充裕且各条线路的传输功率不越限。在算法上，基于大M法将初始风电出力区间转化为含二元整型0-1变量的双线性规划问题，以满足系统运行网络安全约束要求。此外，通过设置可调节置信水平以减小鲁棒调度结果的保守性，实现系统运行经济性和安全性的折中。针对两个连续变量相乘的双线性形式，为了便于MILP处理，将双线性项中的其中一个连续变量离散化，构成大M法可直接处理的标准形式，进而通过添加松弛变量和相应的附加约束实现非线性项的线性转换。采用含风电场的IEEE 26机系统进行算例测试，分别分析了系统旋转备用容量和线路传输功率限制对安全风电出力区间的影响，优化结果表明了本文模型和求解算法的有效性和优越性。另外通过设置可调节置信水平实现风电安全出力区间的调节，本文提出的鲁棒安全约束机组组合能够获得置信水平与风电出力不确定集间的关系，降低鲁棒调度策略的保守性，实现系统运行经济性和安全性的折中。“,”In contrast to most existing works on robust unit commitment (UC), this study proposes a novel big-M-based mixed-integer linear programming (MILP) method to solve security-constrained UC problems considering the allowable wind power output interval and its adjustable conservativeness. The wind power accommodation capability is usually limited by spinning reserve requirements and transmission line capacity in power systems with large-scale wind power integration. Therefore, by employing the big-M method and adding auxiliary 0-1 binary variables to describe the allowable wind power output interval, a bilinear programming problem meeting the security constraints of system operation is presented. Furthermore, an adjustable confidence level was introduced into the proposed robust optimization model to decrease the level of conservatism of the robust solutions. This can establish a trade-off between economy and security. To develop an MILP problem that can be solved by commercial solvers such as CPLEX, the big-M method is utilized again to represent the bilinear formulation as a series of linear inequality constraints and approximately address the nonlinear formulation caused by the adjustable conservativeness. Simulation studies on a modified IEEE 26-generator reliability test system connected to wind farms were performed to confirm the effectiveness and advantages of the proposed method.