School of Automation, Guangdong University of Technology, Guangzhou 510006, China
This work is supported by National Natural Science Foundation of China (No. 61876040) and China Southern Power Grid Company Limited (No. GDKJXM20162094).
Stray capacitance is an indeterminate factor affecting the harmonic measurement of capacitive voltage transformer (CVT). By analyzing the internal structure of CVT and the calculation formula of stray capacitance, it is found that the stray capacitance is a random interval-type parameter. In order to improve the fitting precision of harmonic transfer characteristic curve of CVT, this paper proposes a method based on improved particle swarm optimization (PSO) algorithm for parameter estimation of stray capacitance of CVT. The method takes the confidence interval of the input parameters as the condition, and the minimum error of calculation result as the goal. The parameter combination of the stray capacitance is determined under the condition that the requirements of the minimum errors of amplitude and phase shift are satisfied and the confidence intervals are as much as possible. Through the establishment of a comprehensive power quality test platform, the harmonic voltage value of the secondary side of a 35 kV resistive capacitive divider voltage transformer (RCVT) is used as a reference to analyze the error of the actual harmonic voltage value of the TYD35/
ZHU Tiechao,NIE Yixiong,LI Zhe,et al.Parameter Estimation Method of Stray Capacitance of Capacitive Voltage Transformer Based on Improved Particle Swarm Optimization Algorithm[J].Automation of Electric Power Systems,2020,44(4):178-186.DOI:10.7500/AEPS20190430012Copy