Mixed Measurement State Estimation of the Equivalent Current Transformation Based on Generalized Tellegen's Theorem

2013 ◽  
Vol 373-375 ◽  
pp. 970-975
Author(s):  
Gui Hua Lin ◽  
Tao Wang ◽  
Yu Ying Wang ◽  
Li Guo Zheng

One of the most important ways to enhance the speed of state estimation is to establish the constant matrix Jacobian. This essay puts forward the state estimation method of the equivalent current transformation based on the Generalized Tellegens Theorem. This estimation method establishes the constant Jacobian matrix without neglecting the secondary factor making use of the Generalized Tellegens Theorem, solves the numerical stability problem caused by the establishment of the constant Jacobian matrix in the current state estimation, and has the advantages of a relatively rapid computing rate, making advantage of measuremnt of WAMS and SCADA system, and an unparalleled astringency. The method put forward in this essay has been verified through IEEE-30 Node System, and the efficiency of it has been fully proved by the example results.

2013 ◽  
Vol 732-733 ◽  
pp. 941-947 ◽  
Author(s):  
Gui Hua Lin ◽  
Yan Jun Zhang ◽  
Tao Wang ◽  
Yu Ying Wang

One of the most important ways to enhance the speed of state estimation is to establish the constant matrix Jacobian. This essay puts forward the state estimation method of the equivalent current transformation based on the Generalized Tellegen’s Theorem. This estimation method establishes the constant Jacobian matrix without neglecting the secondary factor making use of the Generalized Tellegen’s Theorem, solves the numerical stability problem caused by the establishment of the constant Jacobian matrix in the current state estimation, and has the advantages of a relatively rapid computing rate and an unparalleled astringency. The method put forward in this essay has been verified through IEEE-30 Node System, and the efficiency of it has been fully proved by the example results.


2014 ◽  
Vol 960-961 ◽  
pp. 1034-1038
Author(s):  
Gui Hua Lin ◽  
Tao Wang ◽  
Yu Ying Wang ◽  
Mei Ying Cui ◽  
Ting Guo

One of the most important ways to enhance the speed of state estimation is to establish the constant matrix Jacobian. This essay puts forward a new type of orthogonal transformation state estimation method based on Generalized Tellegen's theorem. This paper uses orthogonal transformation method to improve state estimation’s numerical stability, and makes the algorithm enjoy an ideal convergence. Moreover, it has strong compatibility of various distribution measurements. The method put forward in this essay has been verified through IEEE-30 Node System, and the efficiency of it has been fully proved by the example results.


2021 ◽  
Vol 1802 (3) ◽  
pp. 032088
Author(s):  
Xiaonan Yang ◽  
Yansheng Lang ◽  
Heng Zhang ◽  
Yan Lv ◽  
Chengzhi Zhu ◽  
...  

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