Simulation of an adaptive artificial neural network for power system security enhancement including control action
This paper presents a new method for enhancing power system security, including a remedial action, using an artificial neural network (ANN) technique. The deregulation of electricity markets is still an essential requirement of modern power systems, which require the operation of an independent syst...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/35378/1/Simulation%20of%20an%20adaptive%20artificial%20neural%20network%20for%20power%20system%20security%20enhancement%20including%20control%20action.pdf http://psasir.upm.edu.my/id/eprint/35378/ http://www.sciencedirect.com/science/article/pii/S1568494614006358 |
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Institution: | Universiti Putra Malaysia |
Language: | English |
Internet
http://psasir.upm.edu.my/id/eprint/35378/1/Simulation%20of%20an%20adaptive%20artificial%20neural%20network%20for%20power%20system%20security%20enhancement%20including%20control%20action.pdfhttp://psasir.upm.edu.my/id/eprint/35378/
http://www.sciencedirect.com/science/article/pii/S1568494614006358