scholarly journals Statistical Analysis of the Measurement Data Manipulation Impact on Power System State Estimation

Author(s):  
Pankhuri Kishore ◽  
◽  
Stuti Shukla Datta ◽  
Seethalekshmi K ◽  
Anil Kumar ◽  
...  
2015 ◽  
Vol 64 (2) ◽  
pp. 237-248
Author(s):  
Piotr Kozierski ◽  
Marcin Lis ◽  
Adam Owczarkowski ◽  
Dariusz Horla

Abstract An approach to power system state estimation using a particle filter has been proposed in the paper. Two problems have been taken into account during research, namely bad measurements data and a network structure modification with rapid changes of the state variables. For each case the modification of the algorithm has been proposed. It has also been observed that anti-zero bias modification has a very positive influence on the obtained results (few orders of magnitude, in comparison to the standard particle filter), and additional calculations are quite symbolic. In the second problem, used modification also improved estimation quality of the state variables. The obtained results have been compared to the extended Kalman filter method


1981 ◽  
Vol PER-1 (1) ◽  
pp. 19-19
Author(s):  
R. L. Lugtu ◽  
D. F. Hackett ◽  
K. C. Liu ◽  
D. D. Might

2020 ◽  
Vol 14 (1) ◽  
pp. 771-781 ◽  
Author(s):  
Tengpeng Chen ◽  
Lu Sun ◽  
Keck-Voon Ling ◽  
Weng Khuen Ho

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