基于选择判据与贴近度的电网故障诊断算法
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作者:
作者单位:

1. 东北大学信息科学与工程学院,沈阳110004;
2. 国网辽宁省电力有限公司电力科学研究院,沈阳110006.

作者简介:

张立颖

通讯作者:

中图分类号:

TP242

基金项目:

国家自然科学基金项目(61372015);沈阳市科技计划项目(F12277181).


Power grid fault diagnosis algorithm based on the selection standard and closeness
Author:
Affiliation:

1. College of Information Science and Engineering,Northeastern University,Shenyang 110004,China;
2. Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd.,Shenyang 110006,China.

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    摘要:

    针对传统D-S 证据理论难以解决高度冲突证据融合问题, 提出一种新的证据合成算法. 将贴近度概念引入D-S 证据合成中, 通过证据的一致性度量计算其权重, 实现冲突证据的加权融合. 提出证据合成方法选择判据, 将证据合成分为冲突和非冲突2 类, 分别采用改进算法和传统算法对证据进行融合. 实例验证表明, 所提出的方法信息聚焦性能优越, 可以有效解决冲突证据合成问题, 在解决电力系统故障诊断问题方面有良好的效果.

    Abstract:

    An improved combination algorithm is proposed aiming at that the traditional D-S evidence theory is difficult to solve the problem in highly conflict evidence. The concept of closeness is introduced to the D-S evidence combination, and the evidence of consistency value is used to calculate its weight, which achieves a weighted fusion of conflict evidence. The evidence combination method selection standard is proposed, which can be divided into two parts: conflict and nonconflict, and then to fuse the evidence with the improved algorithm and the traditional algorithm respectively. Experiments demonstrate that the proposed method not only has the same functions of information focus as the Dempster rule, but also can solve the problem of the combination of conflict evidence better, and can solve the problems of fault diagnosis in power system and get a quite favorable result.

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引用本文

王爱侠 张立颖.基于选择判据与贴近度的电网故障诊断算法[J].控制与决策,2016,31(1):155-159

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  • 收稿日期:2014-10-13
  • 最后修改日期:2015-01-29
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  • 在线发布日期: 2016-01-20
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