Conference proceeding
Design of a binary neural network for security classification in power system operation
1991 IEEE International Symposium on Circuits and Systems (ISCAS), pp 1121-1124 vol.2
1991
Abstract
The authors present a method for designing a neural network (NN) for potential application in real-time system security analysis. Specifically, the authors formulate the contingency classification problem as a pattern recognition problem and then design a NN to classify the system states (i.e., normal, alert and emergency). A two-layered NN with a fully-connected asynchronous binary model for each layer is developed. An optimization technique, which calculates the weights and thresholds of the NN, is used to maximize the probability of classifying the correct state. This procedure is illustrated through a 17-bus example system for which the post-contingency voltage drop limits are considered.< >
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Details
- Title
- Design of a binary neural network for security classification in power system operation
- Creators
- H.H Yan - Drexel UniversityJ.-C Chow - Drexel UniversityM Kam - Drexel UniversityC.R Sepich - Drexel UniversityR Fischl - Drexel University
- Publication Details
- 1991 IEEE International Symposium on Circuits and Systems (ISCAS), pp 1121-1124 vol.2
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Other Identifier
- 991019346719204721