Linear State Estimation Considering Refresh Rates of RTU and PMU Measurements

2021 ◽  
Author(s):  
Aleksandar Jovicic ◽  
Baris Bilgic ◽  
Gabriela Hug
Keyword(s):  
State Estimation ◽  
Linear State

scholarly journals Reliable non-linear state estimation involving time uncertainties

Automatica ◽  
2018 ◽  
Vol 93 ◽  
pp. 379-388 ◽  
Author(s):  
Simon Rohou ◽  
Luc Jaulin ◽  
Lyudmila Mihaylova ◽  
Fabrice Le Bars ◽  
Sandor M. Veres
Keyword(s):  
State Estimation ◽  
Non Linear ◽  
Linear State

scholarly journals Ultra Fast Linear State Estimation Utilizing SCADA Measurements

2019 ◽  
Vol 34 (4) ◽  
pp. 2622-2631 ◽  
Author(s):  
Ahmad Salehi Dobakhshari ◽  
Sadegh Azizi ◽  
Mario Paolone ◽  
Vladimir Terzija
Keyword(s):  
State Estimation ◽  
Linear State

Optimal linear state estimation over a packet-dropping network using linear temporal coding

Automatica ◽  
2013 ◽  
Vol 49 (4) ◽  
pp. 1075-1082 ◽  
Author(s):  
Lidong He ◽  
Dongfang Han ◽  
Xiaofan Wang ◽  
Ling Shi
Keyword(s):  
State Estimation ◽  
Temporal Coding ◽  
Packet Dropping ◽  
Optimal Linear ◽  
Linear State

A new substation linear state estimation method

2015 ◽  
Author(s):  
Mingyu Zhai ◽  
Ting Zhang ◽  
Haibin Zhang ◽  
Miaomiao Qi ◽  
Chengming Gong ◽  
...  
Keyword(s):  
State Estimation ◽  
Estimation Method ◽  
Linear State

Linear State Estimation Based on Measured Quantity Transformation and Calculation of Transmission Losses

2014 ◽  
Vol 672-674 ◽  
pp. 1027-1031
Author(s):  
Gui Hua Lin ◽  
Tao Wang ◽  
Yu Ying Wang
Keyword(s):  
State Estimation ◽  
Transmission Loss ◽  
Information Matrix ◽  
Test System ◽  
Measured Quantity ◽  
Voltage Measurement ◽  
Static State ◽  
Calculation Results ◽  
Linear State ◽  
Nodal Voltage

A linear static state estimation on measured quantity transformation is proposed in this paper utilizing the high precision measurements of WAMS. Using transformation of measured quantity, the current measurements of WAMS are transformed into equivalent voltage measurement, and after simplification a constant real number information matrix is obtained, so the decoupling calculation of real part and imaginary part of nodal voltage is realized. The calculation has many advantages such as fast proposed algorithm, high estimation precision and better numerical stability. Finally, the algorithm is applied to the calculation of network loss in theory, the calculation accuracy of transmission loss is improved. The calculation results of IEEE 30-bus test system validate the effectiveness of the proposed method.

Adaptive central difference filter for non-linear state estimation

2015 ◽  
Vol 9 (6) ◽  
pp. 728-733 ◽  
Author(s):  
Manasi Das ◽  
Smita Sadhu ◽  
Tapan Kumar Ghoshal ◽  
Aritro Dey
Keyword(s):  
State Estimation ◽  
Central Difference ◽  
Non Linear ◽  
Difference Filter ◽  
Linear State
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