Multi Objective Adaptive Tumbling bacterial Foraging in VAR Solutions for Sustainable Power System Operation.
The application of the developed optimization technique Multi Objective Adaptive Tumbling Bacterial Foraging (MOATBFO) was introduced to solve the multi objective Reactive Power Planning (RPP) problems. The objective of conventional RPP problems is to minimize the total power losses in a system....
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| Main Authors: | , , , , |
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| Format: | Journal |
| Language: | en |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://ur.aeu.edu.my/461/1/Multi%20Objective%20Adaptive%20Tumbling%20bacterial%20Foraging%20in%20VAR%20Solutions%20for%20Sustainable%20Power%20System%20Operation..pdf http://ur.aeu.edu.my/461/ http://doi.org/10.11591/ijeecs.v11.i1.pp129-136 |
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| Summary: | The application of the developed optimization technique Multi Objective
Adaptive Tumbling Bacterial Foraging (MOATBFO) was introduced to
solve the multi objective Reactive Power Planning (RPP) problems. The
objective of conventional RPP problems is to minimize the total power losses
in a system. However, in this study, the aspect of security was also taken into
consideration in terms of voltage stability condition in solving RPP
problems. Hence, the RPP problem is now termed as security constrained
RPP (SCRPP) and generalized into a multi objective function via weighted
sum method that labeled as MOSCRPP. The best minimum voltage solution
for the network is aimed in ensuring the sustainable power system operation.
In order to verify the performance of the proposed technique were used for
MOSCRPP in the IEEE 57 bus system thus the comprehensive analyses were
also conducted with other multi objective Meta heuristic Evolutionary
Programming (Meta-EP). From the results it shows that the multi objective
ATBFO optimization is able to give better overall improvement in the
objective functions for SCRPP problems |
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