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dc.contributor.authorKulkarni, I.-
dc.contributor.authorDash, S.-
dc.date.accessioned2025-01-09T04:50:44Z-
dc.date.available2025-01-09T04:50:44Z-
dc.date.issued2012-03-
dc.identifier.citation10.1109/SCEECS.2012.6184787en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2602-
dc.descriptionNITWen_US
dc.description.abstractIn this paper, investigation is carried out for the improvement of power system stability by utilizing auxiliary controls for controlling HVDC power flow. The current controller model and the line dynamics are considered in the stability analysis. Transient stability analysis is done on a multi-machine system, where, a neural network controller is developed to improve the stability of the power system. The Neural Network also improves response time of the controller to the changing conditions in power system. The results show the application of the neural network controller in AC-DC power systemsen_US
dc.language.isoenen_US
dc.publisher2012 IEEE Students' Conference on Electrical, Electronics and Computer Scienceen_US
dc.subjectHVDCen_US
dc.subjectPower system stabilityen_US
dc.subjectMulti-machine stabilityen_US
dc.subjectArtificial Neural Networken_US
dc.titleDevelopment of neural network based HVDC controller for transient stability enhancement of AC/DC systemen_US
dc.typeOtheren_US
Appears in Collections:Electrical Engineering

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