Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques
This paper proposes a simple and effective evolutionarycomputation-based technique to estimate the equivalentcircuit parameters of a single-phase transformer from its nameplatedata without the need to conduct any experimental measurements.Two techniques, namely: particle swarm optimizationand geneti...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
IEEE Power Engineering Society
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/17014 |
| _version_ | 1848749342327832576 |
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| author | Mossad, M. Azab, M. Abu-Siada, Ahmed |
| author_facet | Mossad, M. Azab, M. Abu-Siada, Ahmed |
| author_sort | Mossad, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper proposes a simple and effective evolutionarycomputation-based technique to estimate the equivalentcircuit parameters of a single-phase transformer from its nameplatedata without the need to conduct any experimental measurements.Two techniques, namely: particle swarm optimizationand genetic algorithm are employed to track nameplate data byminimizing certain objective functions. The effectiveness of theproposed technique is examined through its application for threesingle-phase transformers of different ratings. The results showthat evolutionary computation techniques can precisely identifytransformer equivalent circuit parameters. The proposed techniquecan be extended to estimate the parameters of a three-phasepower transformer from its nameplate data without taking thetransformer out of service to carry out any experimental testing. |
| first_indexed | 2025-11-14T07:19:25Z |
| format | Journal Article |
| id | curtin-20.500.11937-17014 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:19:25Z |
| publishDate | 2014 |
| publisher | IEEE Power Engineering Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-170142017-09-13T15:44:54Z Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques Mossad, M. Azab, M. Abu-Siada, Ahmed particle swarm Genetic algorithm (GA) transformer parameters estimation This paper proposes a simple and effective evolutionarycomputation-based technique to estimate the equivalentcircuit parameters of a single-phase transformer from its nameplatedata without the need to conduct any experimental measurements.Two techniques, namely: particle swarm optimizationand genetic algorithm are employed to track nameplate data byminimizing certain objective functions. The effectiveness of theproposed technique is examined through its application for threesingle-phase transformers of different ratings. The results showthat evolutionary computation techniques can precisely identifytransformer equivalent circuit parameters. The proposed techniquecan be extended to estimate the parameters of a three-phasepower transformer from its nameplate data without taking thetransformer out of service to carry out any experimental testing. 2014 Journal Article http://hdl.handle.net/20.500.11937/17014 10.1109/TPWRD.2014.2311153 IEEE Power Engineering Society restricted |
| spellingShingle | particle swarm Genetic algorithm (GA) transformer parameters estimation Mossad, M. Azab, M. Abu-Siada, Ahmed Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques |
| title | Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques |
| title_full | Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques |
| title_fullStr | Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques |
| title_full_unstemmed | Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques |
| title_short | Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques |
| title_sort | transformer parameters estimation from nameplate data using evolutionary programming techniques |
| topic | particle swarm Genetic algorithm (GA) transformer parameters estimation |
| url | http://hdl.handle.net/20.500.11937/17014 |