Bayes-Based Fault Discrimination in Wide Area Backup Protection
Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that some samples belong to these populations, and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2012-02-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2012.01015 |
| _version_ | 1818539454247206912 |
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| author | WANG, Z. ZHANG, J. ZHANG, Y. |
| author_facet | WANG, Z. ZHANG, J. ZHANG, Y. |
| author_sort | WANG, Z. |
| collection | DOAJ |
| description | Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that some samples belong to these populations, and compare the corresponding probability. The sample will be classified as population with maximum probability. In this paper, based on Bayesian discriminant analysis principle, a great number of simulation examples have confirmed that the results of Bayesian fault discriminant in wide area backup protection are accurate and reliable. |
| first_indexed | 2024-12-11T21:42:15Z |
| format | Article |
| id | doaj.art-2aa2ad037e7644b9a13e6b7b9b5f53cf |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-12-11T21:42:15Z |
| publishDate | 2012-02-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-2aa2ad037e7644b9a13e6b7b9b5f53cf2022-12-22T00:49:47ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002012-02-01121919610.4316/AECE.2012.01015Bayes-Based Fault Discrimination in Wide Area Backup ProtectionWANG, Z.ZHANG, J.ZHANG, Y.Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that some samples belong to these populations, and compare the corresponding probability. The sample will be classified as population with maximum probability. In this paper, based on Bayesian discriminant analysis principle, a great number of simulation examples have confirmed that the results of Bayesian fault discriminant in wide area backup protection are accurate and reliable.http://dx.doi.org/10.4316/AECE.2012.01015bayesian discriminant analysisfault discriminationphasor measurement unitPMUwide area backup protection |
| spellingShingle | WANG, Z. ZHANG, J. ZHANG, Y. Bayes-Based Fault Discrimination in Wide Area Backup Protection Advances in Electrical and Computer Engineering bayesian discriminant analysis fault discrimination phasor measurement unit PMU wide area backup protection |
| title | Bayes-Based Fault Discrimination in Wide Area Backup Protection |
| title_full | Bayes-Based Fault Discrimination in Wide Area Backup Protection |
| title_fullStr | Bayes-Based Fault Discrimination in Wide Area Backup Protection |
| title_full_unstemmed | Bayes-Based Fault Discrimination in Wide Area Backup Protection |
| title_short | Bayes-Based Fault Discrimination in Wide Area Backup Protection |
| title_sort | bayes based fault discrimination in wide area backup protection |
| topic | bayesian discriminant analysis fault discrimination phasor measurement unit PMU wide area backup protection |
| url | http://dx.doi.org/10.4316/AECE.2012.01015 |
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