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dc.contributor.author Daneshpooy, Alireza en_US
dc.date.accessioned 2007-05-15T15:16:24Z
dc.date.available 2007-05-15T15:16:24Z
dc.date.issued 1997-07-01T00:00:00Z en_US
dc.identifier.uri http://hdl.handle.net/1993/771
dc.description.abstract This thesis comprises the studies and results from the application of artificial neural networks (ANN) and fuzzy logic theory to the control of the high voltage direct current (HVdc) systems. The studies considered their implementation in both low and high level control systems in HVdc systems. The study is verified using the electromagnetic transients simulation software. The results demonstrated successful performance for single mode control (either constant extinction angle or constant current) using an ANN based on-line controller. The results for the fuzzy logic based controller showed many improvements compared to the conventional HVdc control scheme. The fuzzy logic based controller concept was further successfully extended to high level control problems such as the control of SSR and power swings. Finally in order to facilitate further application of new control techniques such as ANN or fuzzy logic, a MATLAB to transient simulation soft-ware interface was developed. Using this interface, all the MATLAB commands and Tool-boxes may be used within the transient simulation software. en_US
dc.format.extent 5941707 bytes
dc.format.extent 184 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language en en_US
dc.language.iso en_US
dc.title Artificial neural network and fuzzy logic control for HVDC systems en_US
dc.degree.discipline Electrical and Computer Engineering en_US
dc.degree.level Doctor of Philosophy (Ph.D.) en_US


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