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• W2133202215 abstract "Classic distance relaying measures the apparent impedance of the transmission line. Fault resistance and the remote source infeed to the fault branch significantly modifies the apparent impedance, which causes a possible overreach or underreach error. The error is influenced by the actual power system conditions so that it is difficult to select a universal operating characteristic. In this paper we show how neural networks can be designed to achieve adaptive distance relaying for the above problem. A realistic, complicated 500 kV system is considered. The research is concentrated on designing, training and testing of the neural distance relays for line-to-ground faults." @default.
• W2133202215 created "2016-06-24" @default.
• W2133202215 creator A5039871947 @default.
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• W2133202215 date "2002-11-27" @default.
• W2133202215 modified "2023-09-25" @default.
• W2133202215 title "Applying neural networks in adaptive distance protection" @default.
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• W2133202215 doi "https://doi.org/10.1109/icpst.1998.729267" @default.
• W2133202215 hasPublicationYear "2002" @default.
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