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Parameter Estimation Method of Stray Capacitance of Capacitive Voltage Transformer Based on Improved Particle Swarm Optimization Algorithm
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School of Automation, Guangdong University of Technology, Guangzhou 510006, China

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This work is supported by National Natural Science Foundation of China (No. 61876040) and China Southern Power Grid Company Limited (No. GDKJXM20162094).

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    Abstract:

    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/ -0.02HF CVT and the harmonic voltage value corrected by the amplitude-frequency curve relative to the reference value. The validity and feasibility of the proposed method are verified.

    表 3 Table 3
    表 2 Table 2
    图2 Cc和Cp1参数估算后的谐波幅频和相频特性曲线Fig.2 Harmonic amplitude-frequency and phase-frequency characteristic curves after estimating of Cc and Cp1 parameters
    图3 校验测试电路示意图Fig.3 Schematic diagram of verification test circuit
    图4 测量误差比较曲线Fig.4 Measurement error comparison curve
    图5 校正后CVT和RCVT二次侧谐波电压的相对误差曲线Fig.5 Relative error curve of corrected secondary harmonic voltages of CVT and RCVT
    图 算法性能对比图Fig. Algorithm performance comparison chart
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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/AEPS20190430012

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History
  • Received:April 30,2019
  • Revised:September 25,2019
  • Adopted:September 25,2019
  • Online: February 25,2020
  • Published: