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Neural-net based critical clearing time prediction in power system transient stability analysis

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3 Author(s)
Kunsong Huang ; Dept. of Electr. Eng., Sydney Univ., NSW, Australia ; Dinming Lam ; Hansen Yee

Results obtained using an artificial neural network to predict critical clearing times for a specific fault and clearing mode in power system transient stability analysis are presented in this paper. The fault is applied at a bus distant from generators. The prefault active and reactive powers of all generators and loads are used as ANN inputs. For a 5-machine 14-bus system, it was found that for most testing examples the CCT was predicted with good accuracy. However, large errors still occurred in predicting some examples

Published in:

Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on

Date of Conference:

7-10 Dec 1993