A novel algorithm for power system prediction-based state estimation

Author

Lin, Jeu-Min ; Huang, Shyh-Jier

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

2

fYear

2003

fDate

13-17 July 2003

Abstract

In this paper, an algorithm based on the usage of the exponential function along with the sliding surface-enhanced fuzzy control is proposed to solve prediction-based state estimation in power systems. In the proposed method, the merit of exponential function lies in its immunity to the cases of bad measurement and network configuration error, while that of the fuzzy control is its adaptive capability of preventing from the false estimation under abrupt load variation conditions. This proposed method has been applied to the IEEE 30-bus test system. Test results help support the feasibility of the method for state estimation applications.

Keywords

covariance matrices; fuzzy control; power system state estimation; prediction theory; adaptive capability; exponential covariance matrix; network configuration error; power system; prediction-based state estimation; sliding surface-enhanced fuzzy control; Adaptive control; Error correction; Fuzzy control; Load management; Power system control; Power system measurements; Power systems; Programmable control; State estimation; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2003, IEEE

Print_ISBN

0-7803-7989-6

Type

conf

DOI

10.1109/PES.2003.1270400

Filename

1270400