Title :
A hybrid state estimator based on measurement system decomposition
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Abstract :
This paper presents a flexible method for the solution of the state estimation problem. The problem is formulated as a weighted least squares (WLS) approach, where all the flow measurements and only a small number of selected nonredundant injection measurements are "squared" in the gain matrix, while the remaining injection measurements are maintained in "unsquared" form. The gain matrices are positive definite and can be easily factorized using well-known sparsity techniques. The method is numerically robust and reasonable in extra storage requirements. An observability analysis and bad data processing scheme are also proposed. The method is illustrated with the IEEE 14-bus system
Keywords :
least squares approximations; matrix algebra; power system measurement; power system state estimation; IEEE 14-bus system; bad data processing scheme; critical measurements; flow islands; flow measurements; hybrid state estimator; maximal observable island; measurement system decomposition; nonredundant injection measurements; numerically robust method; observability analysis; positive definite gain matrices; squared measurements; unsquared measurements; weighted least squares; Fluid flow measurement; Gain measurement; Jacobian matrices; Least squares methods; Noise measurement; Observability; Power system reliability; Robustness; State estimation; Voltage;
Conference_Titel :
Power Tech Proceedings, 2001 IEEE Porto
Conference_Location :
Porto
Print_ISBN :
0-7803-7139-9
DOI :
10.1109/PTC.2001.964951
