A method to solve power system static-state estimation problems by using a network of processors

Author

Lin, S.-Y.

Author_Institution

Dept. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

1990

fDate

5-7 Dec 1990

Firstpage

3067

Abstract

An RQPD (recursive quadratic programming with the dual method) method is developed for power system static-state estimation. Its global convergence is proved, and the parallel RQPD algorithm to be executed in a processor-network is also developed. Simulation results demonstrating the numerical accuracy and the computational performance of this parallel RQPD algorithm are presented. In the computational aspect, the parallel RQPD algorithm dramatically outplays the conventional state estimators if the communication overhead does not count. This parallel RQPD algorithm may be used to develop a distributed state estimator for power systems. However, the computer protocols required to operate the processor-network properly still need further research

Keywords

convergence; power system analysis computing; quadratic programming; state estimation; dual method; global convergence; power system analysis computing; power system static-state estimation; processor-network; recursive quadratic programming; Algorithm design and analysis; Analytical models; Computational modeling; Concurrent computing; Phase measurement; Power measurement; Power system measurements; Power systems; State estimation; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1990., Proceedings of the 29th IEEE Conference on

Conference_Location

Honolulu, HI

Type

conf

DOI

10.1109/CDC.1990.203354

Filename

203354