期刊文献+

基于UGF的发电系统区间可靠性评估及其仿射算法改进 被引量:8

Interval reliability estimation of power generating system based on UGF method and its modification by using affine arithmetic
下载PDF
导出
摘要 文章在元件可靠性指标为区间概率的基础上,结合区间概率和区间数运算来计算发电系统的可靠性指标。运用区间一般生成函数方法(IUGF)得到发电系统的区间值可靠性指标,但是此方法忽略了变量间的相关性,导致计算所得区间值过宽。仿射区间一般生成函数方法(AIUGF)考虑了原始数据中的相关性,能得到更窄且更为准确的发电系统区间可靠性指标。算例分别采用2种方法得到了RTS79的区间值可靠性指标,验证了AIUGF方法比IUGF方法能得到更窄的区间,并且系统不确定性越大,AIUGF方法在减小由于相关性造成的区间过宽上越有效果。 Considering that the component reliability indexes are interval probability ,the interval probability and the interval arithmetic are combined to calculate the reliability indexes of power generating system .The interval universal generating function (IUGF) method ,which is combined by interval arithmetic and universal generating function ,is used to get interval-valued reliability indexes .However ,as this approach ignores the correlation between variables ,the calculated interval value is too wide .The affine interval universal genera-ting function(AIUGF) method takes the correlation of original data into account ,so narrower and more accu-rate reliability indexes will be got .The numerical example ,which uses the two methods to calculate interval reliability indexes of system RTS79 respectively ,verifies that AIUGF method can get narrower intervals than IUGF method .On the aspect of decreasing the width of intervals due to dependency ,the AIUGF method is more effective when the system is more uncertain .
出处 《合肥工业大学学报(自然科学版)》 CAS CSCD 北大核心 2014年第3期286-291,共6页 Journal of Hefei University of Technology:Natural Science
基金 国家自然科学基金资助项目(51007017)
关键词 一般生成函数 区间概率 区间算数 不确定性 仿射算法 发电系统可靠性 UNIVERSAL GENERATING function (UGF) interval probability interval arithmetic uncertain-ty affine arithmetic reliability of generating system
  • 相关文献

参考文献24

  • 1Elmakias D. New computational methods in power system reliability EM]. Berlin: Springer: 2008 : 105- 132.
  • 2Guo P, Tanaka H. On interval probabilitiesEM]. Berlin. Springer, 2010 .. 153- 162.
  • 3Walley P. Statistical reasoning with imprecise probabilities l-M3. New York: Chapman and Hall, 1991 : 189- 191.
  • 4Li Chunyang, Chen Xun, Yi Xiaoshan, et al. Interval-valued reliability analysis of multi-state systems[J:. Reliability, IEEE Transactions on, 2011,60 (1) : 323- 330.
  • 5Kavousifard A, Samet H. Consideration effect of uncertain- ty in power system reliability indices using radial basis function network and fuzzy logic theoryEJ:. Neurocomput- ing, 2011,74(17) : 3420-3427.
  • 6马瑞,康仁,姜飞,熊龙珠,李凌霄,徐慧明.考虑风电随机模糊不确定性的电力系统多目标优化调度计划研究[J].电力系统保护与控制,2013,41(1):150-156. 被引量:27
  • 7LH De Figueiredo,J Stolfi. Affine arithmetic: concepts and applicaitonsEJ]. Numerical Algorithms, 2004, 37 ( 1/2/3/ 4):147-158.
  • 8Moore R E,Kearfott R B,Cloud M J. Introduction to inter- val analysis EM]. Philadelphia..SIAM,2009:10-14.
  • 9丁明,安玲,齐先军.电力市场环境下考虑系统可靠性的备用调度[J].继电器,2007,35(15):14-17. 被引量:16
  • 10朱代祥,丁明.新型电压源型换流器拓扑及控制策略研究[J].合肥工业大学学报(自然科学版),2012,35(3):303-307. 被引量:2

二级参考文献110

共引文献327

同被引文献70

  • 1丁明,戴仁昶,洪梅,徐先勇.影响输电网可靠性的气候条件模拟[J].电力系统自动化,1997,21(1):18-20. 被引量:21
  • 2刘宇.多状态复杂系统可靠性建模及维修决策[D].成都:电子科技大学,2011.
  • 3李文沅.电力系统风险评估模型、方法和应用[M].北京科学出版社,2006.
  • 4Subcommittee P M. IEEE reliability test system[J]. IEEE Transactions on Power Apparatus and Systems, 1979, 6(3):2047-2054.
  • 5Li W Y,Billinton R. Effect of bus load uncertainty and cor- relation in composite system adequacy evaluation[J]. IEEE Transactions on Power Systems, 1991,6 (4) :1522- 1529.
  • 6LISNIANSKI A, LEVITIN G. Multi-state system reliabili- ty : assessment, optimization and applications [ M ]. Singa- pore : World Scientific, 2003.
  • 7BARTON R M, DAMON W W. Reliability in a multi-state system[ C ]//Procedings of the Sixth Annual Southeastern Symposium on Systems Theoi,, Louisiana, 1974:1-16.
  • 8BARLOW R E, WU A S. Coherent systems with mtdti-state components [ J ]. Mathematica of Operations Research, 1978, 3 (4) :275-281.
  • 9NATVIG B. Muhistate systems reliability theol with ap- plications [ M]. New Jersey:Wiley Series in Probability and Statistics, 2011.
  • 10LEVITIN G. The universal generating function in reliability analysis and optimization [ M ]. London : Springer, 2005.

引证文献8

二级引证文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部