摘要
提出了基于最佳平方逼近法来评估敏感负荷电压凹陷敏感度的新方法。该方法利用勒让德多项式来拟合敏感度参数的概率密度函数,采用累积求和方式评估敏感负荷凹陷敏感度。与传统方法比,本方法直接根据样本信息来推断概率分布模型,避免了主观假设方法的不足,使得评估结果更加合理、客观。通过对4种典型概率分布与相应的最佳平方逼近概率模型的逼近检验,结果表明所得到的逼近多项式有很好的拟合性能。利用该方法对PC机进行凹陷敏感度评估,结果证明了其正确性和有效性。
A new method to assess the voltage sag sensitivity of sensitive equipment is proposed based on the best square approximation. The Legendre polynomials are used to fit the probability density function of voltage sag sensitivity, and the cumulative summation is adopted to assess the voltage sag sensitivity of sensitive equipment. Compared with the traditional probabilistic assessment methods, the probability distribution model is inferred directly by the sample information, avoiding the inadequacy of subjective hypothesis and making the assessment results more reasonable and objective. According to the approximation test for four typical probability distributions, the results show that the approximation polynomial has a good fitting performance. The correctness and effectiveness of the proposed method is validated with the assessment to the voltage sag sensitivity of PC.
出处
《四川电力技术》
2009年第2期13-16,47,共5页
Sichuan Electric Power Technology
基金
国家自然科学基金项目(50677041)
四川省应用基础研究项目(2008JY0043-2)
关键词
电压凹陷
敏感度
概率模型
概率密度函数
最佳平方逼近
应用
voltage sag
sensitivity
probabilistic model
probability density function
best square approximation
application
