Topology error identification through orthogonal estimation methods and hypothesis testing [power systems]

2002 ◽  
Author(s):  
A.S. Costa ◽  
F. Vieira
Keyword(s):  
Power Systems ◽  
Hypothesis Testing ◽  
Estimation Methods ◽  
Error Identification ◽  
Testing Power

Model order estimation methods for low frequency oscillations in power systems

2020 ◽  
Vol 115 ◽  
pp. 105438
Author(s):  
Piyush Warhad Pande ◽  
Bandi Ravi Kumar ◽  
Saikat Chakrabarti ◽  
Suresh Chandra Srivastava ◽  
Subrata Sarkar ◽  
...  
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
Estimation Methods ◽  
Model Order ◽  
Order Estimation ◽  
Low Frequency Oscillations ◽  
Model Order Estimation

scholarly journals Features of practical application of electric power system’s stability estimation methods

2020 ◽  
pp. 46-51
Author(s):  
V. V. Barskov ◽  
◽  
A. V. Bubnov ◽  
A. N. Kirichenko ◽  
◽  
...  
Keyword(s):  
Power Systems ◽  
Transient Stability ◽  
Electrical Power ◽  
Estimation Methods ◽  
Synchronous Generators ◽  
Electrical Power Systems ◽  
Stability Margins ◽  
Qr Algorithm ◽  
The Matrix

Timeliness of the topic is conditioned by the need to keep up ample of static and transient stability margins in modern electrical power systems. The article object is to give a determination of present methods of evaluating damping of systems with synchronous machines, in the context of their effectiveness. And also to estimate the effectiveness of these methods in the performance of the task concerned with selecting best settings of automatic excitation regulators of synchronous generators. This analysis led us to the conclusions, in particular, about possibility to apply the root locus methods in estimating stability of electrical power systems, and also about genericity of the matrix method with the use of QR-algorithm, which is widely used in practice of calculating stability

APPLICATIONS OF VARIANCE FRACTAL DIMENSION: A SURVEY

Fractals ◽  
2014 ◽  
Vol 22 (01n02) ◽  
pp. 1450003 ◽  
Author(s):  
ANGKOON PHINYOMARK ◽  
PORNCHAI PHUKPATTARANONT ◽  
CHUSAK LIMSAKUL
Keyword(s):  
Fractal Dimension ◽  
Power Systems ◽  
Fractal Analysis ◽  
Communication Systems ◽  
Window Size ◽  
Biomedical Signal Processing ◽  
Estimation Methods ◽  
Future Research ◽  
Speech Communication ◽  
Step Size

Chaotic dynamical systems are pervasive in nature and can be shown to be deterministic through fractal analysis. There are numerous methods that can be used to estimate the fractal dimension. Among the usual fractal estimation methods, variance fractal dimension (VFD) is one of the most significant fractal analysis methods that can be implemented for real-time systems. The basic concept and theory of VFD are presented. Recent research and the development of several applications based on VFD are reviewed and explained in detail, such as biomedical signal processing and pattern recognition, speech communication, geophysical signal analysis, power systems and communication systems. The important parameters that need to be considered in computing the VFD are discussed, including the window size and the window increment of the feature, and the step size of the VFD. Directions for future research of VFD are also briefly outlined.

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