Sectionalized ANN approach in predicting voltage stability in power systems
In recent years artificial neural networks (ANNs) have been proposed as an alternative method for solving certain difficult power system problems for which conventional techniques have not achieved the desired speed, accuracy, or efficiency. ANN methodology allows complex relationships between an in...
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ACTA Press
1999
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| Online Access: | http://eprints.um.edu.my/9680/ |
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| _version_ | 1831447896600346624 |
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| author | Moghavvemi, M. |
| author_facet | Moghavvemi, M. |
| author_sort | Moghavvemi, M. |
| building | UM Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaya |
| content_source | UM Research Repository |
| continent | Asia |
| country | Malaysia |
| description | In recent years artificial neural networks (ANNs) have been proposed as an alternative method for solving certain difficult power system problems for which conventional techniques have not achieved the desired speed, accuracy, or efficiency. ANN methodology allows complex relationships between an initial state and a final state to be determined by an iterative mathematical algorithm, instead of by an expert. A properly trained ANN can classify the security of a previously unencountered input pattern with good accuracy. As systems grow in size and complexity, the mapping to be learned become increasingly complicated. In this paper the use of a sectionalized ANN approach is proposed for predicting the voltage stability index of a large-scale power system. |
| format | Article |
| id | my.um.eprints-9680 |
| institution | Universiti Malaya |
| publishDate | 1999 |
| publisher | ACTA Press |
| record_format | eprints |
| spelling | my.um.eprints-96802017-11-23T03:04:22Z http://eprints.um.edu.my/9680/ Sectionalized ANN approach in predicting voltage stability in power systems Moghavvemi, M. TA Engineering (General). Civil engineering (General) In recent years artificial neural networks (ANNs) have been proposed as an alternative method for solving certain difficult power system problems for which conventional techniques have not achieved the desired speed, accuracy, or efficiency. ANN methodology allows complex relationships between an initial state and a final state to be determined by an iterative mathematical algorithm, instead of by an expert. A properly trained ANN can classify the security of a previously unencountered input pattern with good accuracy. As systems grow in size and complexity, the mapping to be learned become increasingly complicated. In this paper the use of a sectionalized ANN approach is proposed for predicting the voltage stability index of a large-scale power system. ACTA Press 1999 Article PeerReviewed Moghavvemi, M. (1999) Sectionalized ANN approach in predicting voltage stability in power systems. International Journal of Power and Energy Systems, 19 (1). pp. 66-70. ISSN 10783466, |
| spellingShingle | TA Engineering (General). Civil engineering (General) Moghavvemi, M. Sectionalized ANN approach in predicting voltage stability in power systems |
| title | Sectionalized ANN approach in predicting voltage stability in power systems |
| title_full | Sectionalized ANN approach in predicting voltage stability in power systems |
| title_fullStr | Sectionalized ANN approach in predicting voltage stability in power systems |
| title_full_unstemmed | Sectionalized ANN approach in predicting voltage stability in power systems |
| title_short | Sectionalized ANN approach in predicting voltage stability in power systems |
| title_sort | sectionalized ann approach in predicting voltage stability in power systems |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.um.edu.my/9680/ |
| url_provider | http://eprints.um.edu.my/ |