中文摘要：

提出了一种基于随机规划理论计算大规模并网风电场最大注入功率的方法，将并网风电场最大注入功率的计算问题转化为在一定安全、稳定、电能质量约束条件下的机会约束规划问题。引入随机变量来表示风电场的有功出力，着重研究了时间段较短的实际运行情况。求解模型时采用了混合智能算法，在含风电场的IEEE30节点系统上进行算例分析，结果表明了该方法的正确性和有效性。本文提出的方法可避免动态仿真的繁琐计算并保证结果的最优性。

英文摘要：

Based on the stochastic programming theory, the authors present a method to calculate maximum injection power of large-scale wind farms connected to power grid. In the proposed method the calculation of the maximum injection power can be turned into a chance-constrained programming problem under certain security, stability and power quality constraints of this method. To describe active power output of wind farm, random variables are led in, and the practical operation of wind farm during shorter time intervals are emphatically researched. The proposed model is solved by hybrid intelligent algorithm. Taking IEEE 30-bus system containing wind farm for calculation example, calculation results show that the proposed method is correct and effective. With the proposed method, the fussy calculation of dynamic simulation can be avoided and the optimization of results can be ensured.