Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/5959
Title: A FUNCTIONAL LINK APPROACH TO NEURAL NET COMPUTING OF CRITICAL FAULT CLEARING TIME
Authors: Khatoon, Sofia
Keywords: ELECTRICAL ENGINEERING;FUNCTIONAL LINK APPROACH;NEURAL NET COMPUTING;CRITICAL FAULT CLEARING TIME
Issue Date: 1993
Abstract: The aim of this study is to synthesize the critical clearing time (CCT) of a power system through successive pattern space -transformations using aritificial neual networks. The critical clearing time is an attribute which provides significant information about the quality of post fault system behaviour. It represents a complex mapping of the pr•e_-fault, on-fault and post fault system conditions into time domain. A feed forward neural network has beent trained to learn. this mapping and successfully perform under variable system operating conditions and topologies. But the supervised method of learning of input/output pairs through back propagation of error leads to a slow convergence to the desired solution. A modification of this method has been attempted to simplify the network structure. This modified system is able to discover what combination of measurements are significant in determining CCT-and quick screen power system contingencies. Besides simplifying the measurement requirements, this system offers an improved convergence time.
URI: http://hdl.handle.net/123456789/5959
Other Identifiers: M.Tech
Research Supervisor/ Guide: Sharma, J. D.
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (Electrical Engg)

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