Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching
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 pap...
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Wiley
2019-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/7890652 |
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author | Mingyue Tan Jiming Li Xiangqian Chen Xuezhen Cheng |
author_facet | Mingyue Tan Jiming Li Xiangqian Chen Xuezhen Cheng |
author_sort | Mingyue Tan |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-7c1f187bfa7548b99319a5ec126b6bf0 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj-art-7c1f187bfa7548b99319a5ec126b6bf02025-02-03T01:23:44ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/78906527890652Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series MatchingMingyue Tan0Jiming Li1Xiangqian Chen2Xuezhen Cheng3Department of the Electrical Engineering & Automation, Shandong University of Science and Technology, 579 Qianwangang Road, Huangdao District, Qingdao, Shandong Province 266590, ChinaDepartment of the Electrical Engineering & Automation, Shandong University of Science and Technology, 579 Qianwangang Road, Huangdao District, Qingdao, Shandong Province 266590, ChinaDepartment of the Electrical Engineering & Automation, Shandong University of Science and Technology, 579 Qianwangang Road, Huangdao District, Qingdao, Shandong Province 266590, ChinaDepartment of the Electrical Engineering & Automation, Shandong University of Science and Technology, 579 Qianwangang Road, Huangdao District, Qingdao, Shandong Province 266590, ChinaTo 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.http://dx.doi.org/10.1155/2019/7890652 |
spellingShingle | Mingyue Tan Jiming Li Xiangqian Chen Xuezhen Cheng Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching Complexity |
title | Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching |
title_full | Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching |
title_fullStr | Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching |
title_full_unstemmed | Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching |
title_short | Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching |
title_sort | power grid fault diagnosis method using intuitionistic fuzzy petri nets based on time series matching |
url | http://dx.doi.org/10.1155/2019/7890652 |
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