Communications and control for electric power systems : Power system stability applications of artificial neural networks
- Author:
- Toomarian, N.
- Published:
- Apr 1, 1994.
- Physical Description:
- 1 electronic document
- Additional Creators:
- Kirkham, Harold
Online Version
- hdl.handle.net , Connect to this object online.
- Restrictions on Access:
- Unclassified, Unlimited, Publicly available.
Free-to-read Unrestricted online access - Summary:
- This report investigates the application of artificial neural networks to the problem of power system stability. The field of artificial intelligence, expert systems, and neural networks is reviewed. Power system operation is discussed with emphasis on stability considerations. Real-time system control has only recently been considered as applicable to stability, using conventional control methods. The report considers the use of artificial neural networks to improve the stability of the power system. The networks are considered as adjuncts and as replacements for existing controllers. The optimal kind of network to use as an adjunct to a generator exciter is discussed.
- Other Subject(s):
- Collection:
- NASA Technical Reports Server (NTRS) Collection.
- Note:
- Document ID: 19950015754.
Accession ID: 95N22171.
NASA-CR-197333.
JPL-PUBL-94-8.
NAS 1.26:197333. - Terms of Use and Reproduction:
- No Copyright.
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