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Author Tao Lan ♦ Jiang Jiguang ♦ Xiao Dachuarn
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1993
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Power system transients ♦ Power system stability ♦ Artificial neural networks ♦ Neurons ♦ Iterative algorithms ♦ Power system modeling ♦ Virtual colonoscopy ♦ Power system faults ♦ Power system measurements ♦ Power measurement
Abstract The paper explores the suitability of using two artificial neural network models (ANN) as tools for power system transient security assessment (TSA). Firstly, a TSA problem of a local power net is changed into a pattern recognition problem suitable for an ANN, and sample data are preprocessed. Then BPN and KNN models are used respectively for this TSA problem. The suitability and advantages of the two models are discussed and compared on mapping capability of the problem, estimation of certainty factor of interpolating results and ANN size. The results show that from the point of view of TSA application, the KNN model is better than BPN.
Description Author affiliation: Dept. of Electr. Eng., Qinghua Univ., Beijing, China (Tao Lan; Jiang Jiguang; Xiao Dachuarn)
ISBN 0780312333
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1993-10-19
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 271.79 kB
Page Count 4
Starting Page 889
Ending Page 892


Source: IEEE Xplore Digital Library