摘要 针对在线PMU（Phasor Measurement Unit）数据会存在随机量测噪声甚至不良数据的实际情况，本文提出了一种输电线路正序参数的自适应抗差最小二乘在线辨识方法。文中基于线路双端多时刻断面的PMU电气量建立了线路正序参数的最小二乘辨识模型；在简要介绍抗差最小二乘原理的基础上，为充分利用量测信息，采用IGG（Institute of Geodesy & Geophysics, Chinese Academy of Sciences）权函数（方案I）实现“三段”法抗差参数辨识；并利用中位数原理在线估计方程残差序列的期望和方差，实现自适应地调整权函数的抗差阈值。该方法无需事先确定量测设备的量测误差，具有很好的抗差能力及结果可信度，同时也消除了参数迭代对初值的敏感性。基于PSCAD仿真和PMU实测数据的算例表明，该方法十分有效，更适合于在线参数辨识。
Abstract：Aiming at the actual situation that there often exist random measurement noises even bad data in online PMU(phasor measurement unit) data, a method of adaptive robust least squares is proposed for online identification of transmission line positive-sequence parameters. Firstly, the least-squares identification model of transmission line parameters is presented based on the multi- period PMU data of both ends. And then, after the brief introduction of robust least squares, to fully use measurement information, the IGG (Institute of Geodesy & Geophysics, Chinese Academy of Sciences) weight function (scheme I) is adopted to realize “three segments” robust identification. Finally, the expectation and variance of the equation residual sequence are online estimated effectively by using the median principle to adjust the robustness threshold of IGG adaptively. The proposed method does not need to determine the measurement error of measurement equipment, and has strong robustness ability and high reliability of identification results, and also eliminates the problem that the method is sensitive to the parameter iterative initial values. The examples based on PSCAD simulation data and PMU data show that the proposed method is very effective, and is more suitable for online parameter identification.
薛安成, 张兆阳, 毕天姝. 基于自适应抗差最小二乘的线路正序参数在线辨识方法[J]. 电工技术学报, 2015, 30(8): 202-209.
Xue Ancheng, Zhang Zhaoyang, Bi Tianshu. Online Identification of Transmission Line Positive-Sequence Parameters Based on Adaptive Robust Least Squares. Transactions of China Electrotechnical Society, 2015, 30(8): 202-209.
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2015, Vol. 30 
