敏感负荷电压凹陷敏感度不确定性最大熵评估

肖先勇; 马超; 杨洪耕

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敏感负荷电压凹陷敏感度不确定性最大熵评估

电气工程 | 更新时间：2023-11-28

- 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
- 工程科学与技术 2009年41卷第5期页码：243-248
- 作者机构：
  
  四川大学电气信息学院
- 作者简介：
- 基金信息：
  
  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)
- DOI：
  中图分类号：
- 纸质出版日期：2009，
  
  网络出版日期：2008-8-29，
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肖先勇,马超,杨洪耕.敏感负荷电压凹陷敏感度不确定性最大熵评估[J].工程科学与技术,2009,41(5):243-248.

Xiao Xian-yong, Ma Chao, Yang Hong-geng. Sensitivity Uncertainty Assessment of Sensitive Equipment Due to Voltage Sag Based on Maximum Entropy Principle[J]. Advanced Engineering Sciences, 2009,41(5):243-248.
肖先勇,马超,杨洪耕.敏感负荷电压凹陷敏感度不确定性最大熵评估[J].工程科学与技术,2009,41(5):243-248. DOI：

Xiao Xian-yong, Ma Chao, Yang Hong-geng. Sensitivity Uncertainty Assessment of Sensitive Equipment Due to Voltage Sag Based on Maximum Entropy Principle[J]. Advanced Engineering Sciences, 2009,41(5):243-248. DOI：

摘要

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。

Abstract

Abstract: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.

关键词

敏感负荷电压凹陷敏感度凹陷强度指标最大熵原理

Keywords

sensitive equipmentvoltage sagsensitivityvoltage sags severity indexmaximum entropy principle

references

Wagner, V.E. ；Andreshak, A.A.,Power quality and factory automation,IEEE Transactions on Industry Applications ,1990, 26(4).

Djokic S Z;Milanovic J V;Kirschen D S,Sensitivity of ac coil contactors to voltage sag,short interruptions,and undervoltage transients,IEEE Transactions on Power Deliver-y,2004(3).

Milanovic J V;Gupta C P,Probabilistic assessment of financial losses due to interruptions and voltage sags --part Ⅰ:the methodology,IEEE Transactions on Power Delivery,.

C. P. Gupta ；Jovica V. Milanovic,Probabilistic Assessment of Equipment Trips due to Voltage Sags,IEEE Transactions on Power Delivery ,2006, 21(2).

Bonatto B D;Niimura T;Dommel H W,A fuzzy logic application to represent load sensitivity to voltage sags,1998.

Chan-Nan Lu ；Cheng-Chieh Shen,Estimation of Sensitive Equipment Disruptions Due to Voltage Sags,IEEE Transactions on Power Delivery ,2007, 22(2).

Cheng-Chieh Shen ；Chan-Nan Lu,A Voltage Sag Index Considering Compatibility Between Equipment and Supply,IEEE Transactions on Power Delivery ,2007, 22(2).

Jovica V. Milanovic ；C. P. Gupta,Probabilistic Assessment of Financial Losses due to Interruptions and Voltage Sags - Part II: Practical Implementation,IEEE Transactions on Power Delivery ,2006, 21(2).

程浩忠;艾芊;张志刚,电能质量,北京:清华大学出版社,2006.

S. Z. Djokic ；K. Stockman ；J. V. Milanovic ；J. J. M. Desmet ；R. Belmans,Sensitivity of AC Adjustable Speed Drives to Voltage Sags and Short Interruptions,IEEE Transactions on Power Delivery ,2005, 20(1).

S. Z. Djokic ；J. Desmet ；G. Vanalme ；J. V. Milanovic ；K. Stockman,Sensitivity of Personal Computers to Voltage Sags and Short Interruptions,IEEE Transactions on Power Delivery ,2005, 20(1).

赵剑锋;王浔;潘诗锋.用电设备电能质量敏感度测试系统研究[J].中国电机工程学报,2005(22)

肖先勇,王希宝,薛丽丽.敏感负荷电压凹陷敏感度的随机估计方法[J].电网技术,2007(22)

Chan J Y;Milanovic J V,Severity indices for assessment of equipment sensitivity to voltage sags and short interruptions,2007.

李志民,李卫星,李勃龙.熵原理及其在电力系统可靠性中的应用[J].电力系统及其自动化学报,2001(3)

朱成骐,孙宏斌,张伯明.基于最大信息熵原理的短期负荷预测综合模型[J].中国电机工程学报,2005(19)

王彬,熵与信息,西安:西北工业大学出版社,1994.

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