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Communications and control for electric power systems: Power system stability applications of artificial neural networksThis 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.
Document ID
19950015754
Document Type
Contractor Report (CR)
Authors
Toomarian, N. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Kirkham, Harold (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 6, 2013
Publication Date
April 1, 1994
Subject Category
CYBERNETICS
Report/Patent Number
JPL-PUBL-94-8
NASA-CR-197333
NAS 1.26:197333
Funding Number(s)
CONTRACT_GRANT: DE-AI01-79ET-29372
CONTRACT_GRANT: NAS7-918
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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NameType 19950015754.pdf STI