Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan
The topic of harmonics has received increased attention over the pass several years due to the increased installation of harmonic-producing that is harmonic-sensitive equipment. It is one of the most common power quality problems. Power quality is an increasing concern for utilities and their commer...
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| Language: | English |
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1999
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| Online Access: | https://ir.uitm.edu.my/id/eprint/104648/1/104648.pdf |
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my-uitm-ir.1046482024-10-08T08:54:39Z Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan 1999 Md. Aspan, Rosnita Apparatus and materials The topic of harmonics has received increased attention over the pass several years due to the increased installation of harmonic-producing that is harmonic-sensitive equipment. It is one of the most common power quality problems. Power quality is an increasing concern for utilities and their commercial and industrial electrical power users. This thesis provides multi-layered network based methods that is back propagation technique for predicting voltage harmonics in eight-bus industrial power system when two types of filter, single tune filter and high pass filter, are added to the certain bus-bar. In this thesis, the data for voltage harmonics in each bus has been verified by means of the computer simulation using Software for Power System (SPS) by Micromatrix Research Corporation. The result obtained from this experiment showed that this method of predicting the voltage harmonics has the advantage, that it can determine the voltage harmonics with very low error. 1999 Thesis https://ir.uitm.edu.my/id/eprint/104648/ https://ir.uitm.edu.my/id/eprint/104648/1/104648.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Hamzah, Noraliza |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Hamzah, Noraliza |
| topic |
Apparatus and materials |
| spellingShingle |
Apparatus and materials Md. Aspan, Rosnita Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan |
| description |
The topic of harmonics has received increased attention over the pass several years due to the increased installation of harmonic-producing that is harmonic-sensitive equipment. It is one of the most common power quality problems. Power quality is an increasing concern for utilities and their commercial and industrial electrical power users. This thesis provides multi-layered network based methods that is back propagation technique for predicting voltage harmonics in eight-bus industrial power system when two types of filter, single tune filter and high pass filter, are added to the certain bus-bar. In this thesis, the data for voltage harmonics in each bus has been verified by means of the computer simulation using Software for Power System (SPS) by Micromatrix Research Corporation. The result obtained from this experiment showed that this method of predicting the voltage harmonics has the advantage, that it can determine the voltage harmonics with very low error. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Md. Aspan, Rosnita |
| author_facet |
Md. Aspan, Rosnita |
| author_sort |
Md. Aspan, Rosnita |
| title |
Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan |
| title_short |
Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan |
| title_full |
Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan |
| title_fullStr |
Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan |
| title_full_unstemmed |
Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan |
| title_sort |
application of an artificial neural network for predicting voltage harmonic / rosnita md. aspan |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
1999 |
| url |
https://ir.uitm.edu.my/id/eprint/104648/1/104648.pdf |
| _version_ |
1818588116078821376 |