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Proceedings Paper

Neural network approach to power system security
Author(s): Morteza Daneshdoost
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Paper Abstract

A neural network approach to power system's static security analysis Is presented. This security analysis includes both security assessment and enhancement. For security assessment, a three-layer feedlorward network has been developed for a small 5-bus system. This network represents the nonlinear nature of the power system accurately enough to identify severe security violations. The momentum method was used to train the network. For security control(enhancement) of power systems, a recurrent network approach Is proposed to replace the existing expert system technique. Given an insecure operating state, the proposed approach will produce the operating points which result in a secure operation of the system. The preliminary results Indicate that neural network approach (given neural network hardware availability) can be used for on-line security analysis in a power system's control center enviroment.

Paper Details

Date Published: 1 March 1991
PDF: 6 pages
Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.47759
Show Author Affiliations
Morteza Daneshdoost, Southern Illinois Univ./Carbondale (United States)

Published in SPIE Proceedings Vol. 1396:
Applications of Optical Engineering: Proceedings of OE/Midwest '90
Rudolph P. Guzik; Hans E. Eppinger; Richard E. Gillespie; Mary Kathryn Dubiel; James E. Pearson, Editor(s)

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