A study on optimization techniques for the sizing of DG in distribution system
Recent changes in the electric utility infrastructure created the opportunities for many technological innovations including the application of DG in order to achieve a variety of benefits. To achieve the benefits, factors such as the capacity of the units and the best location have to be considered...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/1885/ http://eprints.uthm.edu.my/1885/1/A_STUDY_ON_OPTIMIZING_TECHNIQUES_SITI_NOR_BAIZURA_ZAWAWI_2009.pdf |
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| Summary: | Recent changes in the electric utility
infrastructure created the opportunities for many
technological innovations including the application of DG in
order to achieve a variety of benefits. To achieve the
benefits, factors such as the capacity of the units and the
best location have to be considered. This problem was
addressed in this study by the development of the techniques
to optimize the output of the DG in order to obtain
maximum benefits from its installation. The proposed
technique was capable to effectively improve the system
performance in terms of system losses. This paper presents
the comparative study on the performance of the
optimization techniques for determining the optimal sizing
of DG using Evolutionary Programming and Artificial
Immune System. The proposed technique was tested on
IEEE Reliability Test systems namely the IEEE 69-bus and
the program was developed using the MATLAB
programming software.
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