Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (8): 1065-1069.DOI: 10.12068/j.issn.1005-3026.2016.08.001

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An Improved Analytical Model for Fault Diagnosis of Power Systems

WANG Da-zhi1, JIANG Xue-chen1, NING Yi1, ZHAO Lin-lin2   

  1. 1.School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2. Quality Supervision and Inspection Institute of Liaoning Province, Shenyang 110032, China.
  • Received:2015-04-12 Revised:2015-04-12 Online:2016-08-15 Published:2016-08-12
  • Contact: JIANG Xue-chen
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Abstract: There exists uncertainty about whether protective relays(PRs) and circuit breakers(CBs) operate when a fault occurs, which will result in the wrong solution and multiple solution for fault diagnosis based on the existing complete analytical models of power systems. By analyzing the uncertainty about PRs action, CBs action, and alarm, an improved complete analytical model was proposed. According to the probabilities of uncertain events mentioned above, different weight factors were assigned to various PRs and CBs for making the model more reasonable. At the same time, by analyzing action states of PRs and CBs, the dimensions of variables in this model were reduced. The cases of fault diagnosis verified the validity of the proposed method.

Key words: fault diagnosis, uncertainty, analytical model, alarm data, action state

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