考虑电网静态安全风险的随机潮流计算

Probabilistic Load Flow Algorithm Considering Static Security Risk of the Power System

随机潮流能够比较全面地反映系统运行状态,对电网安全性风险评估起到重要作用。现有的随机潮流计算方法中,结合半不变量和Gram-Charlier展开级数的方法可快速且准确地计算节点电压和支路潮流的概率密度函数(probability distribution function,PDF)以及累积分布函数(cumulative distribution function,CDF)。以受时域和地域不均匀分布影响的系统当前运行状态为基础构造预想事故集,将全概率理论与半不变量法随机潮流相结合,提出一种考虑电网静态安全风险的随机潮流算法。对IEEE RTS 96节点实验系统的计算表明,该算法可快速、准确地评估系统当前运行状态的静态安全风险,具有实际应用价值。

Probabilistic load flow（PLF） can completely response to the operating condition of a power system,and it plays a very important role in risk assessment of the power system security.The method that combines the concept of semi-invariant and Gram-Charlier expansion theory can fast and precisely obtain the probability distribution function（PDF） and the cumulative distribution function（CDF） of node voltages and transmission line flows.In this article,anticipated accident list based on the current operating condition that is influenced by the uneven distribution of time and territory domain was constructed,and combined the total probability theory with probabilistic load flow,a probabilistic load flow algorithm considering static security risk of power system was proposed.The calculation on the IEEE RTS 96-node test system indicates that this algorithm can assess the static security risk of the current operating condition rapidly and accurately,and is with practical value.