Evaluation of wind farm harmonic emission level based on parameter adaptive FastICA

Shifeng Zhang, Xiao Chang, Shengwen Li, Jinhao Wang
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Abstract

The harmonic impedance at the wind farm side may not be much greater than the harmonic impedance at the system side due to the fan filter and reactive power compensation equipment. Therefore, the influence of the impedance at the wind farm side cannot be ignored when evaluating the harmonic emission level. A method for estimating harmonic impedance of system side based on parameter adaptive FastICA is proposed. According to the independence of the fluctuation amount of the harmonic sources on both sides of the PCC point, the parameter adaptive FastICA method is used to extract the independent components, and the least square method is used to solve the mixed matrix, and then the harmonic impedance on the system side is obtained. The approximate value of the harmonic impedance at the wind farm side is calculated through the parameters of the wind farm elements, and the influence of the harmonic impedance at the wind farm side is considered to evaluate the harmonic emission level. This method does not need to select the activation function according to the prior information of the probability density of the source signal, and has better separation effect of the source signal and anti background harmonic interference ability. The effectiveness of the proposed method is verified by simulation and measurement.
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基于参数自适应FastICA的风电场谐波排放水平评价
由于风机滤波器和无功补偿设备的存在,风电场侧的谐波阻抗可能不会比系统侧的谐波阻抗大很多。因此,在评估谐波发射水平时,风电场侧阻抗的影响不可忽视。提出了一种基于参数自适应FastICA的系统侧谐波阻抗估计方法。根据PCC点两侧谐波源波动量的独立性,采用参数自适应FastICA方法提取独立分量,并采用最小二乘法求解混合矩阵,得到系统侧谐波阻抗。通过风电场单元参数计算风电场侧谐波阻抗的近似值,并考虑风电场侧谐波阻抗的影响来评估谐波发射水平。该方法不需要根据源信号概率密度的先验信息选择激活函数,具有较好的源信号分离效果和抗背景谐波干扰能力。仿真和实测验证了该方法的有效性。
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