Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri Nets
Due to the advantages of Fuzzy reasoning Petri-nets(FPN)on uncertain and incomplete information processing. It is a promising technique to solve the complex power system fault-section estimation problem. Therefore, we propose a novel estimation method based on Adaptive Fuzzy Petri Nets (AFPN), in th...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Springer
2014-08-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25868518.pdf |
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author | Z.Y. He J.W. Yang Q.F. Zeng T.L. Zang |
author_facet | Z.Y. He J.W. Yang Q.F. Zeng T.L. Zang |
author_sort | Z.Y. He |
collection | DOAJ |
description | Due to the advantages of Fuzzy reasoning Petri-nets(FPN)on uncertain and incomplete information processing. It is a promising technique to solve the complex power system fault-section estimation problem. Therefore, we propose a novel estimation method based on Adaptive Fuzzy Petri Nets (AFPN), in this algorithm, the AFPN is used to build a dynamic fault diagnosis fuzzy reasoning model, where the weights in fuzzy reasoning are decided by the incomplete and uncertain alarm information of protective relays and circuit breakers. The validity and feasibility of this method is illustrated by simulation examples. Results show that the fault section can be diagnosed correctly through fuzzy reasoning models for ten cases, and the AFPN not only takes the descriptive advantages of fuzzy Petri net, but also has learning ability as neural network.. |
first_indexed | 2024-12-10T09:04:20Z |
format | Article |
id | doaj.art-996a00b266d4495897e2dcfb8310325b |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-12-10T09:04:20Z |
publishDate | 2014-08-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
spelling | doaj.art-996a00b266d4495897e2dcfb8310325b2022-12-22T01:55:11ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832014-08-017410.1080/18756891.2014.960259Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri NetsZ.Y. HeJ.W. YangQ.F. ZengT.L. ZangDue to the advantages of Fuzzy reasoning Petri-nets(FPN)on uncertain and incomplete information processing. It is a promising technique to solve the complex power system fault-section estimation problem. Therefore, we propose a novel estimation method based on Adaptive Fuzzy Petri Nets (AFPN), in this algorithm, the AFPN is used to build a dynamic fault diagnosis fuzzy reasoning model, where the weights in fuzzy reasoning are decided by the incomplete and uncertain alarm information of protective relays and circuit breakers. The validity and feasibility of this method is illustrated by simulation examples. Results show that the fault section can be diagnosed correctly through fuzzy reasoning models for ten cases, and the AFPN not only takes the descriptive advantages of fuzzy Petri net, but also has learning ability as neural network..https://www.atlantis-press.com/article/25868518.pdfFault-section estimationPower systemfault AFPN |
spellingShingle | Z.Y. He J.W. Yang Q.F. Zeng T.L. Zang Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri Nets International Journal of Computational Intelligence Systems Fault-section estimation Power system fault AFPN |
title | Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri Nets |
title_full | Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri Nets |
title_fullStr | Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri Nets |
title_full_unstemmed | Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri Nets |
title_short | Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri Nets |
title_sort | fault section estimation for power systems based on adaptive fuzzy petri nets |
topic | Fault-section estimation Power system fault AFPN |
url | https://www.atlantis-press.com/article/25868518.pdf |
work_keys_str_mv | AT zyhe faultsectionestimationforpowersystemsbasedonadaptivefuzzypetrinets AT jwyang faultsectionestimationforpowersystemsbasedonadaptivefuzzypetrinets AT qfzeng faultsectionestimationforpowersystemsbasedonadaptivefuzzypetrinets AT tlzang faultsectionestimationforpowersystemsbasedonadaptivefuzzypetrinets |