基于IGG准则的抗差最小二乘输电线路参数辨识
摘要：针对实测数据中会存在粗差而传统最小二乘不具备抗差能力,本文将IGG(Institute of Geodesy & Geophysics, Chinese Academy of Sciences)抗差方法应用到输电线路参数辨识中,提出了基于IGG准则的抗差最小二乘的输电线路参数辨识方法。具体的,本文在介绍基于双端PMU(Phasor Measurement Units)数据的线路线性数学模型和相应的最小二乘辨识的基础上,通过对目标函数的改造,引入基于IGG法的抗差准则,即对有效的观测信息保权,对可利用观测信息降权,对有害观测信息拒绝,从而使得改造后的最小二乘方法具备了较强的抗差能力。基于PSCAD仿真数据的测试验证了本文方法的有效性、抗噪能力及抗差能力;基于实测PMU数据的运行参数辨识结果表明了本文方法的实用性。
Abstract:For the parameter identification of transmission line, there often exist the gross errors in the measured data, and it is lacking of robustness with the traditional least square estimation. In this paper, the IGG (Institute of Geodesy & Geophysics, Chinese Academy of Sciences) robust estimation is applied to identify the transmission line parameter, and parameter identification of transmission line by robust least square estimation is proposed based on IGG robust criterion. In detail, robust criterion is introduced by IGG method through renovation of objective function based on circuit linear mathematical model of dual terminal PMU (Phasor Measurement Units) data and corresponding least square identification. Therefore, the right of effective observation information can be protected and cut down, and harmful observation information is denied, which make modified least square estimation has stronger robustness. The simulation results based on PSCAD data verify the effectiveness, noise immunity ability and robust ability of the proposed method. Furthermore, the results based on the field PMU data show the practicability of the proposed method.
标题：基于IGG准则的抗差最小二乘输电线路参数辨识
英文标题：Robust Least Square Estimation for Transmission Line Parameter Identification Based on IGG Criterion
作者：戴长春, 王正风, 张兆阳, 毕天姝, 薛安成,
关键词：输电线路, 参数辨识, 抗差最小二乘, IGG抗差准则, PMU数据,
发表日期：2014-04-09
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