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...

Full description

Saved in:
Bibliographic Details
Main Authors: Mingyue Tan, Jiming Li, Xiangqian Chen, Xuezhen Cheng
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/7890652
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832561982734073856
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
work_keys_str_mv AT mingyuetan powergridfaultdiagnosismethodusingintuitionisticfuzzypetrinetsbasedontimeseriesmatching
AT jimingli powergridfaultdiagnosismethodusingintuitionisticfuzzypetrinetsbasedontimeseriesmatching
AT xiangqianchen powergridfaultdiagnosismethodusingintuitionisticfuzzypetrinetsbasedontimeseriesmatching
AT xuezhencheng powergridfaultdiagnosismethodusingintuitionisticfuzzypetrinetsbasedontimeseriesmatching