Cluster identification for optimal placement of static var compensator
This paper introduces a new concept of artificial intelligence based algorithm for clustering the placement of SVCs in power system. The algorithm is based on particle swarm optimization (PSO) technique with objective function to minimize the transmission loss in the system. Experiments were perform...
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| வடிவமà¯: | Conference or Workshop Item |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2013
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.uthm.edu.my/4032/ http://eprints.uthm.edu.my/4032/1/1569738885.pdf |
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| தொகà¯à®ªà¯à®ªà¯: | This paper introduces a new concept of
artificial intelligence based algorithm for clustering the
placement of SVCs in power system. The algorithm is
based on particle swarm optimization (PSO) technique
with objective function to minimize the transmission loss
in the system. Experiments were performed on the IEEE
30- and IEEE 118-bus RTS to realize the effectiveness of
the proposed technique, while verification was
conducted through comparative studies with
evolutionary programming (EP). |
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