Fast prediction of voltage stability index based on radial basis function neural network: Iraqi super grid network, 400-kV
With the increase in power demand and limited power sources has caused the system to operate at its maximum capacity. Therefore, the ability of determine voltage stability before voltage collapse has received a great attention due to the complexity of power system. In this paper a prediction of volt...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Canadian Center of Science and Education
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23041/1/Fast%20prediction%20of%20voltage%20stability%20index%20based%20on%20radial%20basis%20function%20neural%20network%20Iraqi%20super%20grid%20network%2C%20400-kV.pdf http://psasir.upm.edu.my/id/eprint/23041/ http://ccsenet.org/journal/index.php/mas/article/view/11637 |
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http://psasir.upm.edu.my/id/eprint/23041/1/Fast%20prediction%20of%20voltage%20stability%20index%20based%20on%20radial%20basis%20function%20neural%20network%20Iraqi%20super%20grid%20network%2C%20400-kV.pdfhttp://psasir.upm.edu.my/id/eprint/23041/
http://ccsenet.org/journal/index.php/mas/article/view/11637