Small-Signal Stability Assessment of the European Power System Based on Advanced Neural Network Method

2003 ◽  
Vol 36 (20) ◽  
pp. 697-702 ◽  
Author(s):  
S.P. Teeuwsen ◽  
I. Erlich ◽  
U. Bachmann
Keyword(s):  
Neural Network ◽  
Power System ◽  
Small Signal ◽  
Stability Assessment ◽  
Small Signal Stability ◽  
Neural Network Method ◽  
Signal Stability ◽  
Network Method

Fast Analysis of Power System Stability by Artificial Neural Network

2013 ◽  
Vol 732-733 ◽  
pp. 848-851
Author(s):  
Chao Chun Li ◽  
Pei Hwa Huang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power System ◽  
Oscillation Mode ◽  
System Stability ◽  
Small Signal ◽  
Small Signal Stability ◽  
System Matrix ◽  
Signal Stability ◽  
Artificial Neural

Power system small signal stability concerns the ability of the power system to maintain stability subject to small disturbances. The analysis of small signal stability often has to deal with high-order system matrix due to the large number of generating units so that it is not easy to calculate and analyze the original system matrix and the whole set of eigenvalues. In this paper a new approach is proposed to take advantage of the specific feature of the parallel structure of artificial neural network for calculating the most critical eigenvalue or all eigenvalues of the unstable oscillation mode. The developed algorithm is tested on a sample power system to validate the feasibility of the proposed method for the calculation of the critical eigenvalue.

Analyzing Small Signal Stability of Power System based on Online Data by Use of SMES

2009 ◽  
Vol 129 (11) ◽  
pp. 1290-1298
Author(s):  
Hiroyuki Ishikawa ◽  
Yasuyuki Shirai ◽  
Tanzo Nitta ◽  
Katsuhiko Shibata
Keyword(s):  
Power System ◽  
Small Signal ◽  
Small Signal Stability ◽  
Online Data ◽  
Signal Stability
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