A Derivative-Free Observability Analysis Method of Stochastic Power Systems

2021 ◽  
Author(s):  
Zongsheng Zheng ◽  
Yijun Xu ◽  
Lamine Mili ◽  
Zhigang Liu ◽  
Mert Korkali ◽  
...  
Keyword(s):  
Power Systems ◽  
Analysis Method ◽  
Observability Analysis ◽  
Derivative Free

Sparse Representation Based Dielectric Loss Angle Measurement

2015 ◽  
Vol 9 (1) ◽  
pp. 566-570
Author(s):  
Zhang Ji ◽  
Jianfeng Zheng
Keyword(s):  
Dielectric Loss ◽  
Power Systems ◽  
Sparse Representation ◽  
Precise Measurement ◽  
Angle Measurement ◽  
Measuring Error ◽  
Loss Angle ◽  
Analysis Method ◽  
Electric Capacity ◽  
Dielectric Loss Angle

Precise measurement of dielectric loss angle is very important for electric capacity equipment in recent power systems. When signal-to-noise is low and fundamental frequency is fluctuating, aiming at the measuring error of dielectric loss angle based on some recent Fourier transform and wavelet transform harmonics analysis method, we propose a novel algorithm based on sparse representation, and improved it to be more flexible for signal sampling. Comparison experiments describe the advantages of our method.

Observability Analysis of a Power System Stochastic Dynamical Model Using a Derivative-Free Approach

2021 ◽  
pp. 1-1
Author(s):  
Zongsheng Zheng ◽  
Yijun Xu ◽  
Lamine Mili ◽  
Zhigang Liu ◽  
Mert Korkali ◽  
...  
Keyword(s):  
Power System ◽  
Dynamical Model ◽  
Observability Analysis ◽  
Derivative Free

Derivative-Free Observability Analysis of a Stochastic Dynamical System

2021 ◽  
pp. 1-1
Author(s):  
Zongsheng Zheng ◽  
Yijun Xu ◽  
Lamine Mili ◽  
Zhigang Liu ◽  
Long Peng ◽  
...  
Keyword(s):  
Dynamical System ◽  
Stochastic Dynamical System ◽  
Observability Analysis ◽  
Derivative Free
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