说明：  风电场的大规模接入使得电力系统在进行规划设计和 方式安排时需要计及风电出力的不确定性，概率潮流计算方 法是在计及不确定因素的条件下分析电力系统运行状态的 重要工具。针对当前所使用的概率潮流计算方法的不足，提 出一种可以处理多个输入随机变量相关性的基于拉丁超立 方采样(Latin hypercube sampling，LHS)的Monte Carlo 模拟 概率潮流计算方法，该方法同时还具有精度高和速度快等优 点，并且不受输入随机变量的概率分布类型的约束。
(Access makes large-scale wind farms during the planning and design of the power system and the need for taking into account the uncertainty of wind power output mode set when the probability is calculated by analyzing the trend of the power system running under conditions of uncertainty into account an important tool . For less than the probability of load flow calculation methods currently used, proposed a way to deal with multiple input random variables based on the correlation Latin Hypercube Sampling (Latin hypercube sampling, LHS) Monte Carlo simulation to calculate the probability of the trend, the method also with high accuracy and speed, etc., and the probability distribution of the random variable is not the type of input constraints.)