Detection of voltage disturbances in power quality using wavelet transforms
Power quality has cause a great concern to electric utilities with the growing use of sensitive and susceptive electronic and computing equipment. The best analysis on power quality is vital to provide better service to customers. This paper presents the detection of voltage sag and voltage swell...
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| Format: | Thesis |
| Language: | English |
| Published: |
2012
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| Online Access: | http://eprints.uthm.edu.my/2340/1/24p%20NOR%20ASRINA%20RAMLEE.pdf |
| _version_ | 1825709706783490048 |
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| author | Ramlee, Nor Asrina |
| author_facet | Ramlee, Nor Asrina |
| author_sort | Ramlee, Nor Asrina |
| collection | UTHM |
| description | Power quality has cause a great concern to electric utilities with the growing use of
sensitive and susceptive electronic and computing equipment. The best analysis on
power quality is vital to provide better service to customers. This paper presents the
detection of voltage sag and voltage swell event using four types of mother wavelet
namely Haar, Dmey, Daubechies and Symlet to identify the most accurate mother.
The method is developed by applying time domain signal analysis using Discrete
Wavelet Transform (DWT) as a detection tool in MATLAB. The actual interrupted
signals were obtained from 22kv transmission line in Skudai, Johor Bahru. They will
be decomposed through the wavelet mothers. The best mother is the one that capable
to detect the time location of the event accurately |
| first_indexed | 2024-03-05T21:42:40Z |
| format | Thesis |
| id | uthm.eprints-2340 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:42:40Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | uthm.eprints-23402022-02-03T01:48:51Z http://eprints.uthm.edu.my/2340/ Detection of voltage disturbances in power quality using wavelet transforms Ramlee, Nor Asrina TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations Power quality has cause a great concern to electric utilities with the growing use of sensitive and susceptive electronic and computing equipment. The best analysis on power quality is vital to provide better service to customers. This paper presents the detection of voltage sag and voltage swell event using four types of mother wavelet namely Haar, Dmey, Daubechies and Symlet to identify the most accurate mother. The method is developed by applying time domain signal analysis using Discrete Wavelet Transform (DWT) as a detection tool in MATLAB. The actual interrupted signals were obtained from 22kv transmission line in Skudai, Johor Bahru. They will be decomposed through the wavelet mothers. The best mother is the one that capable to detect the time location of the event accurately 2012-07 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2340/1/24p%20NOR%20ASRINA%20RAMLEE.pdf Ramlee, Nor Asrina (2012) Detection of voltage disturbances in power quality using wavelet transforms. Masters thesis, Universiti Tun Hussein Malaysia. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations Ramlee, Nor Asrina Detection of voltage disturbances in power quality using wavelet transforms |
| title | Detection of voltage disturbances in power quality using wavelet transforms |
| title_full | Detection of voltage disturbances in power quality using wavelet transforms |
| title_fullStr | Detection of voltage disturbances in power quality using wavelet transforms |
| title_full_unstemmed | Detection of voltage disturbances in power quality using wavelet transforms |
| title_short | Detection of voltage disturbances in power quality using wavelet transforms |
| title_sort | detection of voltage disturbances in power quality using wavelet transforms |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations |
| url | http://eprints.uthm.edu.my/2340/1/24p%20NOR%20ASRINA%20RAMLEE.pdf |
| work_keys_str_mv | AT ramleenorasrina detectionofvoltagedisturbancesinpowerqualityusingwavelettransforms |