期刊导航

论文摘要

敏感负荷电压凹陷敏感度不确定性最大熵评估

Sensitivity Uncertainty Assessment of Sensitive Equipment Due to Voltage Sag Based on Maximum Entropy Principle

作者:肖先勇(四川大学电气信息学院);马超(四川大学电气信息学院);杨洪耕(四川大学电气信息学院)

Author:Xiao Xian-yong(SCU);Ma Chao(scu);Yang Hong-geng(SCU)

收稿日期:2008-07-03          年卷(期)页码:2009,41(5):243-248

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:敏感负荷;电压凹陷;敏感度;凹陷强度指标;最大熵原理

Key words:sensitive equipment; voltage sag; sensitivity; voltage sags severity index; maximum entropy principle

基金项目:国家自然科学基金资助项目(50677041);四川省应用基础研究项目(2008JY0043-2)

中文摘要

敏感负荷对电压凹陷的敏感度是时空变量,受供电侧电压凹陷幅值、持续时间、频次以及负荷特征、功能、运行状态等多因素影响,存在很大的不确定性。客观准确评估敏感负荷电压凹陷敏感度是研究的热点和难点。现有概率评估法基于大量样本,主观假设其敏感等级与随机分布规律后进行评估,不同的假设对评估结果影响很大。针对现有评估法的不足,提出用以电压凹陷对敏感负荷产生影响的严重性指标为随机变量,在样本数较少的情况下,根据最大熵原理求得不依赖于主观假设的负荷敏感度随机分布规律,通过概率密度函数的累积求和对敏感负荷故障率进行评估的新方法。给出了详细的最大熵模型及其求解方法,提出了具体评估过程,以PC机为例进行了仿真评估,并与现有4种概率评估法进行了比较,结果表明提出的方法不需主观假设,在样本数比较少的情况下,评估结果具有较好的准确性与适用性。

英文摘要

Aimed at overcoming the shortcoming of the current stochastic assessment of equipment sensitivity, an effective new method was proposed which use the voltage sag severity index of each type equipment as stochastic variable and search its objective probability density function based on maximum entropy principle. Then the equipment sensitivity was described by equipment failure rate through cumulative summing method. The detailed stochastic assessment principle and solution method was proposed also. The simulation results of PCs showed that compared with four current probability assessment methods,the proposed method is fit for small samples condition and has well assessment precision and good adaptability.

关闭

Copyright © 2020四川大学期刊社 版权所有.

地址:成都市一环路南一段24号

邮编:610065