以黑启动及系统恢复方案为核心的电网应急预案是电力公司应对电网大面积停电最关键的措施之一，由于模型的复杂性使得其有效建模及快速求解成为一个挑战性难题。针对该问题提出了计及新能源出力不确定性的系统恢复两阶段鲁棒优化模型及快速求解新方法。首先构建计及新能源出力不确定性及交流潮流约束的两阶段鲁棒优化完整模型；然后提出潮流方程低非线性转换结合二阶锥松弛技术的方法，将混合整数非线性优化模型转化为混合整数二阶锥优化模型；最后采用列与约束生成算法求解。算例证实了所提模型及算法的有效性和先进性。

Since the power grid emergency plan with black start and system restoration scheme being the core, which is usually very complicate, is always the most critical measure for power companies to cope with the large-scale power grid outage, and thus its effective modeling and fast solving algorithm have been the challenging issue. To focus on the issue, this paper proposes a two-stage robust optimization model and a fast solving new method for system recovery considering the uncertainty of new energy power output (NEPO). Firstly, a two-stage robust optimization model that considers the uncertainty of NEPO and the constraints of AC power flow is constructed. Then, the low nonlinear transformation of power flow equation combined with second-order cone relaxation technique is proposed to transform the mixed integer nonlinear optimization model into the mixed integer second-order cone optimization model. Finally, the column and constraint generation algorithm is used to solve the problem. The effectiveness and advancement of the proposed model and algorithm are verified by a numerical example.