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提出了一种基于三次样条插值和时标变换的智能变电站保护数据重采样算法。当电力系统频率偏移时,重采样得到傅里叶算法一个数据窗内的整周期采样数据,减小了频谱泄漏误差。过程层数据采样率与保护算法不匹配时,实现了采样率向保护算法采样率的转换。算法可减小过程总线采样值传输产生的延迟和丢包对保护带来的误差。MATLAB数值仿真结果表明,重采样算法在互感器合并单元采样数据与保护算法不匹配情况下可实现采样数据与保护算法的“无缝连接”。利用MATLAB/Simulink建立电力系统故障模型,仿真结果验证了算法应用于实际电力系统保护的有效性和适用性。
An algorithm for data resampling protection in smart substations based on cubic spline interpolation and time-scale transformation is proposed. When the frequency of the power system is shifted, resampling results in the whole cycle of sampling data in a data window of the Fourier algorithm, so as to reduce the spectrum leakage error. When the data sampling rate of the process layer does not match the protection algorithm, the conversion of the sampling rate to the sampling rate of the protection algorithm is realized. The algorithm reduces the delay caused by the transmission of process bus sample values and the error caused by packet loss due to protection. MATLAB numerical simulation results show that the resampling algorithm can realize the “seamless connection” of sampling data and protection algorithm when the sampling data of the merging unit of the transformer is not matched with the protection algorithm. The power system fault model is established by using MATLAB / Simulink. The simulation results verify the effectiveness and applicability of the algorithm in practical power system protection.