An improved Hopfield model for power system contingency classification

J. C. Chow; R. Fischl; M. Kam; H. H. Yan; S. Ricciardi

An improved Hopfield model for power system contingency classification

J. C. Chow, R. Fischl, M. Kam, H. H. Yan, S. Ricciardi

Research output: Contribution to journal › Conference article › peer-review

Abstract

A method for designing neural networks (NNs) for classifying contingencies in terms of the number and type of limit violations is presented. Specifically, an optimization method (in constrast to a learning method) for find the weights and thresholds of an associated Little-Hopfield NN is developed. This optimization method, which uses the linear programming technique, maximizes the probability of classifying the contingency correctly. The contingency classification problem is formulated into a pattern recognition problem. A NN to detect a prescribed set of patterns is then designed.

Original language	English (US)
Pages (from-to)	2925-2928
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	4
State	Published - 1990
Externally published	Yes
Event	1990 IEEE International Symposium on Circuits and Systems Part 4 (of 4) - New Orleans, LA, USA Duration: May 1 1990 → May 3 1990

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

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title = "An improved Hopfield model for power system contingency classification",

abstract = "A method for designing neural networks (NNs) for classifying contingencies in terms of the number and type of limit violations is presented. Specifically, an optimization method (in constrast to a learning method) for find the weights and thresholds of an associated Little-Hopfield NN is developed. This optimization method, which uses the linear programming technique, maximizes the probability of classifying the contingency correctly. The contingency classification problem is formulated into a pattern recognition problem. A NN to detect a prescribed set of patterns is then designed.",

author = "Chow, {J. C.} and R. Fischl and M. Kam and Yan, {H. H.} and S. Ricciardi",

year = "1990",

language = "English (US)",

volume = "4",

pages = "2925--2928",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "1990 IEEE International Symposium on Circuits and Systems Part 4 (of 4) ; Conference date: 01-05-1990 Through 03-05-1990",

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TY - JOUR

T1 - An improved Hopfield model for power system contingency classification

AU - Chow, J. C.

AU - Fischl, R.

AU - Kam, M.

AU - Yan, H. H.

AU - Ricciardi, S.

PY - 1990

Y1 - 1990

N2 - A method for designing neural networks (NNs) for classifying contingencies in terms of the number and type of limit violations is presented. Specifically, an optimization method (in constrast to a learning method) for find the weights and thresholds of an associated Little-Hopfield NN is developed. This optimization method, which uses the linear programming technique, maximizes the probability of classifying the contingency correctly. The contingency classification problem is formulated into a pattern recognition problem. A NN to detect a prescribed set of patterns is then designed.

AB - A method for designing neural networks (NNs) for classifying contingencies in terms of the number and type of limit violations is presented. Specifically, an optimization method (in constrast to a learning method) for find the weights and thresholds of an associated Little-Hopfield NN is developed. This optimization method, which uses the linear programming technique, maximizes the probability of classifying the contingency correctly. The contingency classification problem is formulated into a pattern recognition problem. A NN to detect a prescribed set of patterns is then designed.

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UR - http://www.scopus.com/inward/citedby.url?scp=0025623155&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0025623155

SN - 0271-4310

VL - 4

SP - 2925

EP - 2928

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - 1990 IEEE International Symposium on Circuits and Systems Part 4 (of 4)

Y2 - 1 May 1990 through 3 May 1990

ER -

An improved Hopfield model for power system contingency classification

Abstract

All Science Journal Classification (ASJC) codes

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