摘要
提出了一种综合应用多种概率密度函数的敏感负荷电压暂降敏感度的随机评估方法,以更全面地描述负荷敏感度的随机性.首先对5种典型的概率密度函数进行分析,并分别建立敏感负荷电压耐受能力的数学模型,进而评估电压暂降发生时不确定区域内的故障发生率——即负荷敏感度;然后通过均方差法将这5种概率密度函数模型的评估值进行加权综合,得到敏感度评估结果;最后通过仿真分析,验证了该方法的合理性和有效性.
Abstract：Proposed in this paper is a new method to evaluate the voltage sag sensitivity （VSS） of the sensitive load by combining several probability density function models,which can fully describe the randomness of the load sensitivity.First,five typical probability density functions are deeply analyzed and are used to respectively establish the mathematical model of the voltage tolerance curve of the sensitive load,and the VSS of the sensitive load in the uncertainty region is evaluated respectively by the five models.Then,the weighted sum of the results of the five models is calculated by means of the unbiased variance method.Finally,the rationality and effectiveness of the proposed method are verified by simulation results.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第8期9-14,共6页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金重点资助项目(50937001)
华南理工大学中央高校基本科研业务费专项资金资助项目(2012ZM0018)
关键词
敏感负荷
电压暂降
负荷敏感度
敏感度评估
概率密度函数
sensitive load
voltage sag
load sensitivity
sensitivity evaluation
probability density function
