Abstract
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.
Metadata
Item Type: | Thesis (Masters) |
---|---|
Creators: | Creators Email / ID Num. Ishak, Sazwan UNSPECIFIED |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Production of electric energy or power T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Keywords: | Voltage stability, power system, voltage condition, power flows system |
Date: | 2008 |
URI: | https://ir.uitm.edu.my/id/eprint/597 |
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