96/05043 A guiding light

• Book ID: 104280203
• Publisher: Elsevier Science
• Year: 1996
• Weight: 206 KB
• Volume: 37
• Category: Article
• ISSN: 0140-6701
• DOI: 10.1016/s0140-6701(96)90187-3

✦ Synopsis

A three-layer perceptron artifical neural network with back propagation learning technique is designed for line flow contingency ranking. Two new indices -a severity index and a margin index for lineflow -are defined. A regression-based correlation technique is used to select training parameters for the neural network. The proposed method has been tested for the IEEE 118-bus test system. Results show that the contivgency rankings by the proposed method are comparable to results obtained by the classical performance index method. An advantage of the proposed method is its applicability in the control centre environment.

96105030

Development of a graphical user interface for a real-time power system simulator