The number and stability indices of Cn-trees

1976 ◽  
pp. 142-148 ◽  
Author(s):  
K. L. McAvaney
Keyword(s):  
Stability Indices

Analysis of Voltage Stability Indices for Radial Distribution Systems

2008 ◽  
Vol 2 (1) ◽  
pp. 27-35
Author(s):  
S. Sivanagaraju ◽  
G. Sreenivasan ◽  
K. Nagaraju
Keyword(s):  
Radial Distribution ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Stability Indices

scholarly journals Time Series-Analysis Based Engineering of High-Dimensional Wide-Area Stability Indices for Machine Learning

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Raoult Teukam Dabou ◽  
Innocent Kamwa ◽  
C. Y. Chung ◽  
C. F. Mugombozi
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Time Series Analysis ◽  
Wide Area ◽  
High Dimensional ◽  
Series Analysis ◽  
Stability Indices

Evaluation of time stability indices for soil water storage upscaling

2012 ◽  
Vol 475 ◽  
pp. 229-241 ◽  
Author(s):  
Wei Hu ◽  
Lindsay K. Tallon ◽  
Bing Cheng Si
Keyword(s):  
Soil Water ◽  
Water Storage ◽  
Soil Water Storage ◽  
Time Stability ◽  
Stability Indices

An Evaluation of Stability Indices Using Sensitivity Functions for Active Magnetic Bearing Supported High-Speed Rotor

2006 ◽  
Vol 129 (2) ◽  
pp. 230-238 ◽  
Author(s):  
Naohiko Takahashi ◽  
Hiroyuki Fujiwara ◽  
Osami Matsushita ◽  
Makoto Ito ◽  
Yasuo Fukushima
Keyword(s):  
High Speed ◽  
Transfer Functions ◽  
Mimo System ◽  
Magnetic Bearing ◽  
Singular Value ◽  
Active Magnetic Bearing ◽  
Sensitivity Functions ◽  
Phase Lags ◽  
The Stability ◽  
Stability Indices

In active magnetic bearing (AMB) systems, stability is the most important factor for reliable operation. Rotor positions in radial direction are regulated by four-axis control in AMB, i.e., a radial system is to be treated as a multi-input multioutput (MIMO) system. One of the general indices representing the stability of a MIMO system is “maximum singular value” of a sensitivity function matrix, which needs full matrix elements for calculation. On the other hand, ISO 14839-3 employs “maximum gain” of the diagonal elements. In this concept, each control axis is considered as an independent single-input single-output (SISO) system and thus the stability indices can be determined with just four sensitivity functions. This paper discusses the stability indices using sensitivity functions as SISO systems with parallel/conical mode treatment and/or side-by-side treatment, and as a MIMO system with using maximum singular value; the paper also highlights the differences among these approaches. In addition, a conversion from usual x∕y axis form to forward/backward form is proposed, and the stability is evaluated in its converted form. For experimental demonstration, a test rig diverted from a high-speed compressor was used. The transfer functions were measured by exciting the control circuits with swept signals at rotor standstill and at its 30,000 revolutions/min rotational speed. For stability limit evaluation, the control loop gains were increased in one case, and in another case phase lags were inserted in the controller to lead the system close to unstable intentionally. In this experiment, the side-by-side assessment, which conforms to the ISO standard, indicates the least sensitive results, but the difference from the other assessments are not so great as to lead to inadequate evaluations. Converting the transfer functions to the forward/backward form decouples the mixed peaks due to gyroscopic effect in bode plot at rotation and gives much closer assessment to maximum singular value assessment. If large phase lags are inserted into the controller, the second bending mode is destabilized, but the sensitivity functions do not catch this instability. The ISO standard can be used practically in determining the stability of the AMB system, nevertheless it must be borne in mind that the sensitivity functions do not always highlight the instability in bending modes.

Neural-network representation of Voltage Stability Indices at the voltage collapse

2011 ◽  
Author(s):  
Guilherme G. Lage ◽  
Ricardo A. S. Fernandes ◽  
Geraldo R. M. da Costa
Keyword(s):  
Neural Network ◽  
Voltage Stability ◽  
Voltage Collapse ◽  
Network Representation ◽  
Stability Indices
Sign in / Sign up

Export Citation Format

Share Document