Transmission Line Parameters Identification Based on Robust Least Mean Squares

doi:10.3969/j.issn.1000-7229.2015.02.019

Abstract

Abstract:

The mathematical model of transmission lines is widely used in the analysis and calculation of power system； and the accuracy of its parameters is closely related to the safe and stable operation of power grid. The development of wide area measurement system （WAMS） supplies a new way to obtain the parameters of transmission lines. According to the status that there were few studies on the influence of measurement error on the results of parameter identification algorithm, this paper proposed a parameter identification algorithm for transmission lines based on robust least mean squares. The algorithm was introduced the robust criterion function instead of mean square error in traditional minimum mean square estimation algorithm, and adjusted the threshold value through adaptive thresholding method, which could make it have strong adaptability of noise resistance. Meanwhile, kernel density estimation method and point estimation method were used to extract the statistical feature of calculation results at different time. Finally, the comparison between simulation analysis and measured data verifies the effectiveness of proposed algorithm.

Key words: transmission line, parameter identification, robust least mean squares

DING Lan， LIU Guifu， WANG Yangchuan， FU Hangyu， ZENG Bo. Transmission Line Parameters Identification Based on Robust Least Mean Squares[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(2): 115-119.

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