Structural equation modelling and system dynamic in the detection of power quality events
The issues of power quality had been discussed since the starting of power system and it will keep on arise from time to time because power quality is important to electricity consumers at all levels of usage. Since sensitive equipments and power electronic devices are now more common in indus...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2257/1/24p%20ASHRAF%20ZULFA%20AZIZAN.pdf http://eprints.uthm.edu.my/2257/2/ASHRAF%20ZULFA%20AZIZAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2257/3/ASHRAF%20ZULFA%20AZIZAN%20WATERMARK.pdf |
| _version_ | 1796868614565920768 |
|---|---|
| author | Azizan, Ashraf Zulfa |
| author_facet | Azizan, Ashraf Zulfa |
| author_sort | Azizan, Ashraf Zulfa |
| collection | UTHM |
| description | The issues of power quality had been discussed since the starting of power system and it
will keep on arise from time to time because power quality is important to electricity
consumers at all levels of usage. Since sensitive equipments and power electronic
devices are now more common in industrial/commercial sectors as well as domestic use,
the awareness of power quality is developing amongst electricity users. In general, the
main power quality issues can be identified as voltage variations, voltage imbalance,
voltage fluctuations, transients, harmonic distortions, interruptions, etc. The
consequences of one or more of the above non-ideal conditions may cause thermal
effects, life expectancy reduction, dielectric strength reduction and disoperation of
different equipments. In this project, power quality events are verified using Structural
Equation Modeling (SEM) and System Dynamic method. In detecting power quality
events, Amos 5.0.1 and Vensim PLE for Windows version 5.11 were used. The
verification of power quality events involves identification, classification and mitigation
process on several power quality events that occurred in electrical power system. |
| first_indexed | 2024-03-05T21:42:26Z |
| format | Thesis |
| id | uthm.eprints-2257 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English English English |
| last_indexed | 2024-03-05T21:42:26Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | uthm.eprints-22572021-10-31T04:45:51Z http://eprints.uthm.edu.my/2257/ Structural equation modelling and system dynamic in the detection of power quality events Azizan, Ashraf Zulfa QA Mathematics QA273-280 Probabilities. Mathematical statistics The issues of power quality had been discussed since the starting of power system and it will keep on arise from time to time because power quality is important to electricity consumers at all levels of usage. Since sensitive equipments and power electronic devices are now more common in industrial/commercial sectors as well as domestic use, the awareness of power quality is developing amongst electricity users. In general, the main power quality issues can be identified as voltage variations, voltage imbalance, voltage fluctuations, transients, harmonic distortions, interruptions, etc. The consequences of one or more of the above non-ideal conditions may cause thermal effects, life expectancy reduction, dielectric strength reduction and disoperation of different equipments. In this project, power quality events are verified using Structural Equation Modeling (SEM) and System Dynamic method. In detecting power quality events, Amos 5.0.1 and Vensim PLE for Windows version 5.11 were used. The verification of power quality events involves identification, classification and mitigation process on several power quality events that occurred in electrical power system. 2012-01 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2257/1/24p%20ASHRAF%20ZULFA%20AZIZAN.pdf text en http://eprints.uthm.edu.my/2257/2/ASHRAF%20ZULFA%20AZIZAN%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/2257/3/ASHRAF%20ZULFA%20AZIZAN%20WATERMARK.pdf Azizan, Ashraf Zulfa (2012) Structural equation modelling and system dynamic in the detection of power quality events. Masters thesis, Universiti Tun Hussein Onn Malaysia. |
| spellingShingle | QA Mathematics QA273-280 Probabilities. Mathematical statistics Azizan, Ashraf Zulfa Structural equation modelling and system dynamic in the detection of power quality events |
| title | Structural equation modelling and system dynamic in the detection of power quality events |
| title_full | Structural equation modelling and system dynamic in the detection of power quality events |
| title_fullStr | Structural equation modelling and system dynamic in the detection of power quality events |
| title_full_unstemmed | Structural equation modelling and system dynamic in the detection of power quality events |
| title_short | Structural equation modelling and system dynamic in the detection of power quality events |
| title_sort | structural equation modelling and system dynamic in the detection of power quality events |
| topic | QA Mathematics QA273-280 Probabilities. Mathematical statistics |
| url | http://eprints.uthm.edu.my/2257/1/24p%20ASHRAF%20ZULFA%20AZIZAN.pdf http://eprints.uthm.edu.my/2257/2/ASHRAF%20ZULFA%20AZIZAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2257/3/ASHRAF%20ZULFA%20AZIZAN%20WATERMARK.pdf |
| work_keys_str_mv | AT azizanashrafzulfa structuralequationmodellingandsystemdynamicinthedetectionofpowerqualityevents |