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Haiying Dong
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Substation Fault Diagnosis Based on Time Sequence Fuzzy Petri Net Haiying Dong; Xiaonan Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

As the 750kV substation has the characteristics like timing inconsistency, dual protection configuration and uncertain diagnosis result, a fault diagnosis method of substation with redundant protection configuration based on time sequence fuzzy Petri nets is proposed. In this method, redundant knowledge about fault component is represented by using two sets of protective information. On that basis, component redundant diagnosis-model based on time sequence fuzzy Petri net is constructed, which can be decomposed into main and redundant subnet-model, in which initial-information credibility is determined by using information-entropy, the time sequence constraint is checked and initial-information credibility is corrected by using the relationship between acted protection and breaker. Compared with fuzzy Petri net diagnosis method taking no account of time sequence factor, the proposed method can not only identify the malfunction information, but also obtain a certain result. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.2528
Substation Fault Diagnosis Based on Rough Sets and Grey Relational Analysis Haiying Dong; Xiaonan Li; Zhanhong Wei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

As the 750kV substation has the characteristics like incomplete information, uncertain diagnosis result and dual protection configuration, a fault diagnosis method of substation with redundant protection configuration based on rough sets and grey relational analysis is proposed. In this method, the diagnosis decision table which takes advantage of information about wave-recording devices and two protective devices is constructed and simplified, and the minimal reduction can be obtained by using knowledge acquisition method based on rough set; Based on the point, the comparative sequence and reference sequence is established. Through the use of grey relational analysis, the grey relational grade of attributes and failure rate of suspicious fault components is determined in the reduction table, and furthermore obtain a certain diagnosis result. The result shows that the proposed method is effective. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3636
Co-Authors Xiaonan Li Zhanhong Wei