Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching
Joint Authors
Tan, Mingyue
Li, Jiming
Chen, Xiangqian
Cheng, Xuezhen
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-21
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
To improve the reliability of power grid fault diagnosis by enhancing the processing ability of uncertain information and adequately utilizing the alarm information about power grids, a fault diagnosis method using intuitionistic fuzzy Petri Nets based on time series matching is proposed in this paper.
First, the alarm hypothesis sequence and the real alarm sequence are constructed using the alarm information and the general grid protection configuration model, and the similarity of the two sequences is used to calculate the timing confidence.
Then, an intuitionistic fuzzy Petri Nets fault diagnosis model, with an excellent ability to process uncertain information from intuitionistic fuzzy sets, is constructed, and the initial place value of the model is corrected by the timing confidence.
Finally, an application of the fault diagnosis model for the actual grid is established to analyze and verify the diagnostic results of the new method.
The results for some test cases show that the new method can improve the accuracy and fault tolerance of fault diagnosis, and, furthermore, the abnormal state of the component can be inferred.
American Psychological Association (APA)
Tan, Mingyue& Li, Jiming& Chen, Xiangqian& Cheng, Xuezhen. 2019. Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching. Complexity،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1132778
Modern Language Association (MLA)
Tan, Mingyue…[et al.]. Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching. Complexity No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1132778
American Medical Association (AMA)
Tan, Mingyue& Li, Jiming& Chen, Xiangqian& Cheng, Xuezhen. Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching. Complexity. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1132778
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132778