New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz
Recently, there are still many cases of voltage collapse incidents occur all around the world. This is due to the reason that most power systems today are being operated very close to their stability limits because of the exponentially growing demands, the desires to obtain maximum economic benefits...
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| Format: | Book Section |
| Language: | English |
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Institute of Graduate Studies, UiTM
2014
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| Online Access: | https://ir.uitm.edu.my/id/eprint/19450/1/ABS_NUR%20FADILAH%20AB%20AZIZ%20TDRA%20VOL%206%20IGS_14.pdf |
| _version_ | 1796901013686321152 |
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| author | Ab Aziz, Nur Fadilah |
| author_facet | Ab Aziz, Nur Fadilah |
| author_sort | Ab Aziz, Nur Fadilah |
| collection | UITM |
| description | Recently, there are still many cases of voltage collapse incidents occur all around the world. This is due to the reason that most power systems today are being operated very close to their stability limits because of the exponentially growing demands, the desires to obtain maximum economic benefits and environmental constraints. Therefore, this thesis presents novel techniques for voltage stability evaluation and enhancement in power system. Firstly, a new bus voltage stability index named as Voltage Stability Condition Indicator (VSCI) was developed. The competency of VSCI was corroborated in three tasks; weak bus identification, automatic line outage contingency ranking and weak area identification. In addition, a new method to detect weak areas in a system termed as Weak Area Clustering Margin (WACM) was also developed. In the first part of study, all methods were tested on IEEE 30-bus and IEEE 118-bus test system. Secondly, a new voltage stability prediction technique utilising state of the art machine learning, Support Vector Machine (SVM) was developed. |
| first_indexed | 2024-03-06T01:43:46Z |
| format | Book Section |
| id | oai:ir.uitm.edu.my:19450 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T01:43:46Z |
| publishDate | 2014 |
| publisher | Institute of Graduate Studies, UiTM |
| record_format | dspace |
| spelling | oai:ir.uitm.edu.my:194502018-06-11T07:52:00Z https://ir.uitm.edu.my/id/eprint/19450/ New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz Ab Aziz, Nur Fadilah Malaysia Recently, there are still many cases of voltage collapse incidents occur all around the world. This is due to the reason that most power systems today are being operated very close to their stability limits because of the exponentially growing demands, the desires to obtain maximum economic benefits and environmental constraints. Therefore, this thesis presents novel techniques for voltage stability evaluation and enhancement in power system. Firstly, a new bus voltage stability index named as Voltage Stability Condition Indicator (VSCI) was developed. The competency of VSCI was corroborated in three tasks; weak bus identification, automatic line outage contingency ranking and weak area identification. In addition, a new method to detect weak areas in a system termed as Weak Area Clustering Margin (WACM) was also developed. In the first part of study, all methods were tested on IEEE 30-bus and IEEE 118-bus test system. Secondly, a new voltage stability prediction technique utilising state of the art machine learning, Support Vector Machine (SVM) was developed. Institute of Graduate Studies, UiTM 2014 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/19450/1/ABS_NUR%20FADILAH%20AB%20AZIZ%20TDRA%20VOL%206%20IGS_14.pdf New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz. (2014) In: The Doctoral Research Abstracts. IPSis Biannual Publication, 6 (6). Institute of Graduate Studies, UiTM, Shah Alam. |
| spellingShingle | Malaysia Ab Aziz, Nur Fadilah New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz |
| title | New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz |
| title_full | New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz |
| title_fullStr | New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz |
| title_full_unstemmed | New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz |
| title_short | New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab Aziz |
| title_sort | new techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system nur fadilah ab aziz |
| topic | Malaysia |
| url | https://ir.uitm.edu.my/id/eprint/19450/1/ABS_NUR%20FADILAH%20AB%20AZIZ%20TDRA%20VOL%206%20IGS_14.pdf |
| work_keys_str_mv | AT abaziznurfadilah newtechniquesincorporatingcomputationalintelligencebasedforvoltagestabilityevaluationandimprovementinpowersystemnurfadilahabaziz |