引用本文:薛安成,游宏宇,苏大威,徐劲松,周健,徐飞阳,卢敏,王治华,毕天姝.基于中位数估计和相分量模型的输电线路序参数在线抗差辨识[J].电力自动化设备,2018,(8):
XUE Ancheng,YOU Hongyu,SU Dawei,XU Jingsong,ZHOU Jian,XU Feiyang,LU Min,WANG Zhihua,BI Tianshu.On-line robust identification of transmission line’s sequence parameter based on median estimation and phase component model[J].Electric Power Automation Equipment,2018,(8):
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基于中位数估计和相分量模型的输电线路序参数在线抗差辨识
薛安成1, 游宏宇1, 苏大威2, 徐劲松1, 周健1, 徐飞阳1, 卢敏3, 王治华4, 毕天姝1
1.华北电力大学新能源电力系统国家重点实验室,北京102206;2.国网江苏省电力公司,江苏南京210024;3.国网浙江省电力公司,浙江杭州310007;4.国网上海市电力公司,上海200122
摘要:
实测相量测量单元(PMU)数据中存在随机噪声和不良数据,造成线路正序和零序参数辨识精度降低,故而会导致状态估计合格率低等问题,从而影响电力系统调度运行。针对上述问题,提出了一种基于PMU数据、线路相分量模型和中位数估计的输电线路正序和零序参数在线抗差辨识方法。该方法仅需多次正常运行时三相不平衡下的线路双端PMU相电压、相电流量测数据,并利用相分量模型实现正序和零序参数同时辨识,利用中位数抗差减少数据量需求。具体地,建立了线路三相参数的π型等值相分量模型,基于最小二乘法推导了获得其参数的辨识方法;应用结合中位数估计的抗差最小二乘法进行辨识,该方法可避免极端值和大部分量测中粗差对辨识结果的影响;利用仿真及实测数据验证了所提方法的有效性以及算法的抗噪和抗差能力。
关键词:  在线参数辨识  相分量法  三相不平衡  中位数估计  序参数  输电线路
DOI:10.16081/j.issn.1006-6047.2018.08.013
分类号:TM761
基金项目:国家电网公司科技项目(DZ71-16-029);国家重大科研仪器研制项目(51627811)
On-line robust identification of transmission line’s sequence parameter based on median estimation and phase component model
XUE Ancheng1, YOU Hongyu1, SU Dawei2, XU Jingsong1, ZHOU Jian1, XU Feiyang1, LU Min3, WANG Zhihua4, BI Tianshu1
1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Beijing 102206, China;2.State Grid Jiangsu Power Supply Company, Nanjing 210024, China;3.State Grid Zhejiang Power Supply Company, Hangzhou 310007, China;4.State Grid Shanghai Power Supply Company, Shanghai 200122, China
Abstract:
The noise and biased data in the field PMU(Phase Measurement Unit) data may reduce the identification accuracy of positive-and zero-sequence parameters, which may result in low qualification rate of state estimation that can negatively impact the operation of the electric power system. A robust identification method based on PMU data, the phase component method and median robust estimation is proposed for the line sequence parameter estimation, which is to address these problems. The proposed method employs the PMU phase voltage and current data at both terminals of the transmission line at different time under three-phase unbalance, the phase component model to simultaneously identify the positive-and zero-sequence parameter, and the median estimation to reduce the demand of data. The π-type equivalent phase component model for the transmission line is established, and the phase parameter identification method is derived based on least square method. Furthermore, to alleviate the impacts of extreme value and gross data of most measurement, the medium estimation is applied in the robust least square method. Finally, the effectiveness, the anti-noise ability and robustness of the proposed method are verified by the simulation and the field PMU data.
Key words:  on-line parameter identification  phase components method  three-phase unbalance  median estimation  sequence parameter  transmission line

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