Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak
Voltage stability improvement in power system is an important consideration in power system operation when involving heavily stressed system with large amount of real and reactive power demand and low voltage condition. In addition, generation and load rescheduling changes power flows system netw...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2008
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/597/ |
| _version_ | 1848802357966536704 |
|---|---|
| author | Ishak, Sazwan |
| author_facet | Ishak, Sazwan |
| author_sort | Ishak, Sazwan |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | Voltage stability improvement in power system is an important consideration in power
system operation when involving heavily stressed system with large amount of real
and reactive power demand and low voltage condition. In addition, generation and
load rescheduling changes power flows system networks and voltage profiles which
will also affect voltage stability in power system. One of the methods known to be able
to improve voltage stability is by means of real and reactive power rescheduling. This
research proposed a new technique for rescheduling the real and reactive power
generated by the generating units and also identifying suitable location and sizing for
compensating capacitors based on Artificial Immune System (AIS) optimization
technique. In this study two objective functions were consider for optimization which
is L index technique and total loss minimization. The voltage stability L index also
was utilized as an indicator for voltage stability evaluation. The study also considers
contingency cases such as single line and double line outages. The performance of this
technique was tested using the 57 bus IEEE Reliability Test Systems. A comparative
study was made between the AIS optimization technique and the other biological
computing technique namely the Evolutionary Programming (EP) optimization
technique in performing similar task in order to identify the merits of former
technique. |
| first_indexed | 2025-11-14T21:22:04Z |
| format | Thesis |
| id | uitm-597 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:22:04Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-5972016-07-01T04:01:53Z https://ir.uitm.edu.my/id/eprint/597/ Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak Ishak, Sazwan TK Electrical engineering. Electronics. Nuclear engineering Production of electric energy or power Electric power distribution. Electric power transmission Voltage stability improvement in power system is an important consideration in power system operation when involving heavily stressed system with large amount of real and reactive power demand and low voltage condition. In addition, generation and load rescheduling changes power flows system networks and voltage profiles which will also affect voltage stability in power system. One of the methods known to be able to improve voltage stability is by means of real and reactive power rescheduling. This research proposed a new technique for rescheduling the real and reactive power generated by the generating units and also identifying suitable location and sizing for compensating capacitors based on Artificial Immune System (AIS) optimization technique. In this study two objective functions were consider for optimization which is L index technique and total loss minimization. The voltage stability L index also was utilized as an indicator for voltage stability evaluation. The study also considers contingency cases such as single line and double line outages. The performance of this technique was tested using the 57 bus IEEE Reliability Test Systems. A comparative study was made between the AIS optimization technique and the other biological computing technique namely the Evolutionary Programming (EP) optimization technique in performing similar task in order to identify the merits of former technique. 2008 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/597/1/TM_SAZWAN%20ISHAK%20EE%2008_5%201.pdf Ishak, Sazwan (2008) Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak. (2008) Masters thesis, thesis, Universiti Teknologi MARA. <http://terminalib.uitm.edu.my/597.pdf> |
| spellingShingle | TK Electrical engineering. Electronics. Nuclear engineering Production of electric energy or power Electric power distribution. Electric power transmission Ishak, Sazwan Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak |
| title | Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak |
| title_full | Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak |
| title_fullStr | Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak |
| title_full_unstemmed | Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak |
| title_short | Artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / Sazwan Ishak |
| title_sort | artificial immuned based real and reactive power rescheduling for voltage stability improvement in power system / sazwan ishak |
| topic | TK Electrical engineering. Electronics. Nuclear engineering Production of electric energy or power Electric power distribution. Electric power transmission |
| url | https://ir.uitm.edu.my/id/eprint/597/ |