A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power Systems
This work proposes a new method for fault diagnosis in electric power systems based on neural modules. With this method the diagnosis is performed by assigning a neural module for each type of component comprising the electric power system, whether it is a transmission line, bus or transformer. The...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/176463 |
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| author | Agustín Flores Eduardo Quiles Emilio García Francisco Morant Antonio Correcher |
| author_facet | Agustín Flores Eduardo Quiles Emilio García Francisco Morant Antonio Correcher |
| author_sort | Agustín Flores |
| collection | DOAJ |
| description | This work proposes a new method for fault diagnosis in electric power systems based on neural modules. With this method the diagnosis is performed by assigning a neural module for each type of component comprising the electric power system, whether it is a transmission line, bus or transformer. The neural modules for buses and transformers comprise two diagnostic levels which take into consideration the logic states of switches and relays, both internal and back-up, with the exception of the neural module for transmission lines which also has a third diagnostic level which takes into account the oscillograms of fault voltages and currents as well as the frequency spectrums of these oscillograms, in order to verify if the transmission line had in fact been subjected to a fault. One important advantage of the diagnostic system proposed is that its implementation does not require the use of a network configurator for the system; it does not depend on the size of the power network nor does it require retraining of the neural modules if the power network increases in size, making its application possible to only one component, a specific area, or the whole context of the power system. |
| format | Article |
| id | doaj-art-0f783ced61e041d29f9d4f694d238c4f |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-0f783ced61e041d29f9d4f694d238c4f2025-02-03T06:01:08ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/176463176463A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power SystemsAgustín Flores0Eduardo Quiles1Emilio García2Francisco Morant3Antonio Correcher4Área de Control Peninsular, CFE, Instituto Tecnológico de Mérida, Departamento de Eléctrica, C10 No. 312-A Fraccionamiento Gonzalo Guerrero, 97118 Mérida, YUC, MexicoDepartamento de Ingeniería de Sistemas y Automática, Universitat Politècnica de València, C. Vera 14, 46022 Valencia, SpainDepartamento de Ingeniería de Sistemas y Automática, Universitat Politècnica de València, C. Vera 14, 46022 Valencia, SpainDepartamento de Ingeniería de Sistemas y Automática, Universitat Politècnica de València, C. Vera 14, 46022 Valencia, SpainDepartamento de Ingeniería de Sistemas y Automática, Universitat Politècnica de València, C. Vera 14, 46022 Valencia, SpainThis work proposes a new method for fault diagnosis in electric power systems based on neural modules. With this method the diagnosis is performed by assigning a neural module for each type of component comprising the electric power system, whether it is a transmission line, bus or transformer. The neural modules for buses and transformers comprise two diagnostic levels which take into consideration the logic states of switches and relays, both internal and back-up, with the exception of the neural module for transmission lines which also has a third diagnostic level which takes into account the oscillograms of fault voltages and currents as well as the frequency spectrums of these oscillograms, in order to verify if the transmission line had in fact been subjected to a fault. One important advantage of the diagnostic system proposed is that its implementation does not require the use of a network configurator for the system; it does not depend on the size of the power network nor does it require retraining of the neural modules if the power network increases in size, making its application possible to only one component, a specific area, or the whole context of the power system.http://dx.doi.org/10.1155/2014/176463 |
| spellingShingle | Agustín Flores Eduardo Quiles Emilio García Francisco Morant Antonio Correcher A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power Systems The Scientific World Journal |
| title | A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power Systems |
| title_full | A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power Systems |
| title_fullStr | A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power Systems |
| title_full_unstemmed | A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power Systems |
| title_short | A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power Systems |
| title_sort | modular neural network scheme applied to fault diagnosis in electric power systems |
| url | http://dx.doi.org/10.1155/2014/176463 |
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